BONK declines 4.06% to $0.00001174 as failed resistance test triggers downside momentum amid rising volume.  ( 30 min )

DeFi can be misunderstood, but it's key to investing's future. Learn about the tech, adoption trends, and how advisors can win with clarity.  ( 34 min )

Challenger job cuts for October rose to their highest in more than 20 years.  ( 31 min )

Data shows long-term holders have driven an unprecedented wave of distribution across 2024 and 2025.  ( 30 min )

NEAR Protocol (NEAR) joined Internet Computer (ICP) as a top performer, rising 3.3%.  ( 28 min )

Though Ethereum is still the preferred platform among institutions for asset tokenization, DeFi apps and stablecoin creation, it faces threats that will erode its edge if it doesn't move to meet the market, argues Axelar co-founder and CEO Sergey Gorbunov.  ( 34 min )

The integration, powered by Chainlink’s NAVLink oracle technology, represents another leap in bridging traditional finance and decentralized finance together.  ( 31 min )

The proceeds from the sale will fund new research projects at ITER, including exploring fields like quantum technology.  ( 30 min )

The Chinese automotive transaction firm turned bitcoin miner Cango issued an update to its shareholders.  ( 29 min )

KraneShares, best-known for its China-focused ETF, plans to shift fully to tokenized offerings in the coming years, CEO said.  ( 30 min )

The penalty relates to Coinbase Europe breaching its anti-money laundering and counter terrorist financing transaction monitoring obligations between 2021 and 2025.  ( 33 min )

Upsized 2 million-share SATA issuance priced at $80 includes a 12% dividend and potential bitcoin allocation.  ( 30 min )

Your day-ahead look for Nov. 6, 2025  ( 36 min )

Bitcoin steadies above $100,000 after a dip, while altcoins struggle and derivatives data show rising caution across the market.  ( 32 min )

With the perpetual preferred share STRC now trading at par, Strategy may unlock a new path to acquire bitcoin through its at-the-market program.  ( 30 min )

Accredited investors in Hong Kong have access to the U.S. dollar, Luxembourg-registered, tokenized UCITS money-market product.  ( 31 min )

The token defended its ascending channel structure despite distribution pressure at the upper boundary, keeping short-term bias neutral-to-bullish above $0.16.  ( 31 min )

The move marked the token’s strongest daily gain in a week and outperformance against a declining broader market, with traders now eyeing a clean push toward $2.50.  ( 32 min )

At Miami’s America Business Forum, he said his orders ended a “war on crypto,” mentioned that crypto helps the dollar and warned China could gain if Washington stumbles.  ( 31 min )

BTC recently fell below $100,000 as macro uncertainties weighed over spot ETF inflows.  ( 32 min )

Complete Tutorial: Creating an MCP Task Manager Server from Scratch 📖 Table of Contents Introduction to Model Context Protocol (MCP) Prerequisites and Installation Project Structure Basic Configuration MCP Server Implementation Endpoints: Tools Endpoints: Resources Endpoints: Prompts Error Handling Main Server Code Organization and Patterns Testing and Validation Docker Deployment Additional Resources 1. Introduction to Model Context Protocol (MCP) What is MCP? The Model Context Protocol (MCP) is a standardized communication protocol that allows Large Language Models (LLMs) to interact with external systems in a secure and structured manner. It uses JSON-RPC 2.0 for communication. Tools: Actions that the LLM can execute (create, modify, delete) Resources: Data t…  ( 29 min )

Today I focused on improving my data visualization skills using Matplotlib, one of the most powerful Python libraries for creating charts and plots. Visualization is an important part of Data Analytics because it helps to communicate patterns, trends, and insights clearly. Today, I explored how to add labels, titles, colors, and shapes, and also learned about different types of charts used in data analysis. A chart without a title or labels can be confusing. Title explains what the chart is about. X-label and Y-label tell what each axis represents. import matplotlib.pyplot as plt x = [1, 2, 3, 4, 5] y = [10, 20, 25, 30, 35] plt.plot(x, y) plt.title("Sales Growth Over 5 Months") # Chart title plt.xlabel("Month") # X-axis label plt.ylabel("Sales (in thousand…  ( 7 min )

I recently built my own AI agent. Not because I needed one, but because I wanted to see how far I could take the current tools available. It turned out to be surprisingly straightforward, extremely flexible, and genuinely useful. This post will show you what the agent can do and how you can build your own using n8n, without needing to write much code. The agent runs as a simple chat interface where I can ask it different questions and request actions. For example: Ask for the weather in a city. Get my current YouTube subscriber count. Check my recent running stats from Strava. Have it send me an email containing a summary of the full conversation. Here is what the chat looks like in use: This is not necessarily something you must have, but it is a great demonstration of what is possible w…  ( 8 min )

When you ship a typical web service, you instrument it with metrics and traces. Application Performance Monitoring (APM) tells you if requests are fast, if error rates spike, and if your system is behaving as expected in production. You also write unit tests and integration tests to catch regressions before they go live. Those two pillars, pre‑release testing and live observability, are what give you confidence in traditional software. Now we’re implementing LLMs into everything from chatbots to workflow automation. They’re not deterministic functions. What we need is a way to observe and test the qualitative behavior of these models and treat their outputs as first‑class citizens in our quality pipeline. That’s where LLM evaluations (evals) come in. Evals act like unit tests and health ch…  ( 7 min )

The 25 Best Movies of the Century: No. 6 – Mulholland Drive Sean Fennessey and Amanda Dobbins pick up their yearlong countdown with David Lynch’s Mulholland Drive, celebrating it as a landmark of modern surrealism. They rave about Naomi Watts’s breakthrough performance and unpack the wild conspiracy theories and unique readings that keep fans debating decades later. Between its mash-up of Americana, European surrealism, classic Hollywood glitz and a dash of outsider-art eeriness, Mulholland Drive manages to be utterly beguiling—and these hosts can’t get enough. Watch on YouTube  ( 6 min )

Predator 2 ditches the jungle for a scorching, crime-plagued 1990s L.A., swapping Schwarzenegger for Danny Glover and cranking up the stakes with a nastier, more relentless Predator on the prowl. It throws in heat waves, gang warfare and even a scene-stealing Gary Busey cameo, carving its own path instead of rehashing the original. If you’re up for a fresh spin on the hunt rather than a carbon-copy sequel, Predator 2 is a wild, oddly fun ride that proves the franchise can thrive outside the jungle. Watch on YouTube  ( 6 min )

⚠️ Heads up, Business Central devs! Microsoft just updated their docs on container-based development environments for #msdyn365BC. If you're using Docker + BCContainerHelper, this refresh includes: ✅ Updated install steps ✅ Insider build access via artifact URLs ✅ Troubleshooting tips for memory, disk, and browser issues ✅ PowerShell examples for publishing apps 📌 Check the updated guide: https://learn.microsoft.com/en-us/dynamics365/business-central/dev-itpro/developer/devenv-running-container-development  ( 6 min )

News about Gemini 3.0 has been the most talked-about topic among developers since August, with constant news reports confidently announcing its release date, only to find that it hasn’t happened. Hopes have been dashed time and again, yet anticipation remains high—because the performance of the Gemini 2.5 Pro has already fallen behind its competitors, Chatgpt and Claude. Now I’ll bring you the latest firsthand news, and I’m happy to announce that it’s now available on CometAPI. Google’s next-generation Gemini 3 wave has generated more leak-driven chatter than most product launches — community checkpoints appearing in public benchmarking sites, model names showing up in Google’s own tooling, and an active developer path for trying models via the Gemini CLI and the CometAPI. At a high level,…  ( 11 min )

Day 20 – Python Standard Library Project: Build a “Utility Toolkit” using core Python standard modules (math, random, datetime, time, os). 01. Learning Goal By the end of this lesson, you will be able to: Use Python’s built-in standard libraries effectively Perform mathematical operations with math Generate random numbers with random Work with dates and time using datetime and time Manage files and folders with os 02. Problem Scenario You’re developing a small automation program and need tools for math calculations, random data generation, time management, and file handling — all without installing extra libraries. Luckily, Python’s Standard Library already provides everything you need. 03. Step 1 – math module (Mathematical Operations) Provides mathematical functions like squ…  ( 8 min )

Introduction Effective user, group, and permission management is a cornerstone of Linux system administration. It safeguards sensitive data by controlling access, while enabling seamless collaboration across shared environments. In this project, you'll engage in a realistic simulation—creating users, organizing them into groups, and configuring access to shared directories and project files. Through this hands-on experience, you'll gain proficiency with key commands such as adduser, groupadd, usermod, chmod, chown, and id. Tasks to be Completed Create Groups Create Users Assign Users to Groups Set Up a Shared Project Directory Manage Permissions Test Group Collaboration Confirm that non-members (e.g., carol) cannot access the directory. Change File Ownership Practice with c…  ( 9 min )

Frontend developer evaluates the features of Arc, Dia, Comet, Zen, Atlas, and Vivaldi browsers. As a frontend architect and a software engineer, my daily work domain remains partly in the browser. That’s why I am always on the lookout for fresh browsers to try out and see how they take into account user’s experience, what new features they implement, and what’s their stance on user privacy. For the past few years, new browsers started appearing, with promises of supercharged user experience, new features that change how we browse, and some with enhanced privacy improvements. Over the years, there are glimpses of a new browser war forming, in aims to establish Chrome’s next-gen successor. Let’s take the journey among the current next-gen browser offerings through the lenses of frontend engi…  ( 12 min )

The Model Context Protocol (MCP) lets you connect AI assistants directly to your data infrastructure. Here's how to build production-ready servers that make your data AI-accessible. Traditional approach: Export data to CSV Upload to AI chat interface Lose context and freshness Repeat manually every time MCP approach: AI queries your systems directly Real-time data access Full business context preserved Automated and repeatable Claude Desktop ←→ MCP Server (Python) ←→ Your Data Infrastructure ↓ [Snowflake, Postgres, APIs, Data Catalogs] Use Case Build Custom Use Pre-built Proprietary data warehouse schemas ✅ ❌ Custom authentication/RBAC ✅ ❌ Standard Postgres/MySQL ❌ ✅ Business logic enforcement ✅ ❌ Public GitHub repos ❌ ✅ Data governan…  ( 9 min )

⚛ Quantum Computing: The Next Revolution in Technology Quantum Computing & Advanced Tech Training in Hyderabad Introduction: The Dawn of Quantum Computing What Is Quantum Computing? Why Quantum Computing Matters Cryptography: Quantum computers can break traditional encryption algorithms, which means cybersecurity will evolve toward quantum-safe cryptography. Artificial Intelligence (AI): With the help of quantum machine learning (QML), models can analyze massive datasets more efficiently, improving pattern recognition and decision-making. Drug Discovery & Healthcare: Pharmaceutical companies are using quantum simulations to model complex molecules and predict interactions, reducing time and cost in drug development. Financial Modeling: Banks and investment firms use quantum algorithms …  ( 8 min )

Here’s what you need to know: •Containers share the host OS kernel, are lighter-weight and faster to start - but trade some isolation for efficiency. •The right choice depends on your workload: legacy apps or multi-OS needs → VM. Fast scalability, microservices, and CI/CD cycles → Containers. 🔗 Read the full Webdock guide here: https://webdock.io/en/docs/mastering-web-fundamentals/server-fundamentals/vms-vs-containers  ( 6 min )

I’ve built Vigilant, a monitoring tool designed to monitor all aspects of your website. From basic uptime checks to more advanced checks like performance. user flows and public infrastructure. It started as an open source project and is now a SaaS using the open core structure. As a backend developer, design is not my strongest point. In this article I’m sharing the different revisions of the homepage and the feedback I’ve got from generous internet users with which I was able to improve the homepage a few times to what it is now. I’ll share where I got the feedback and what I’ve changed. I won’t make you scroll down the whole article to see the before/after, so here it is the initial version (January 2025) and (June 2025): And now (November 2025): I had used a dark theme in one of my pr…  ( 9 min )

Hey dev.to community! 👋 How much time do you spend re-typing the same kubectl, helm, argocd, terraform, or custom script commands every day? Switching contexts, finding resource names, managing environments... it often involves: Running one command to get an ID or name. Copying that output. Pasting it into the next command. Repeating. 😩 Aliases help, sure. k for kubectl is great, but it doesn't solve the core problem of constantly tweaking arguments or chaining commands manually. This is where IntelliShell changes the game. It's a smart command-line assistant that lets you turn those repetitive commands into reusable, interactive templates. Think of it like this: instead of typing kubectl logs -n my-namespace my-app-pod-123xyz --since 10m over and over, you save a template once: # Bookma…  ( 7 min )

This tutorial was written by James Shisiah. When it comes to databases, the age-old debate never ends: relational versus document. On one side, you’ve got the classic relational database—PostgreSQL—organized, structured, and always insisting that every piece of data belongs neatly in its own row and column. Think of it as the well-disciplined librarian who won’t let you borrow a book without filling out three forms—the emphasis is on organization, structure, and order. On the other side, you’ve got MongoDB, the document database—with flexible schema, and more like a cool café owner who says, “Just scribble your order on a napkin, I’ll figure it out.” Document databases emphasise flexibility, ease, and speed. In this tutorial, we will take a sample Laravel blog app (with users, posts, and…  ( 24 min )

If you’re new to Godot, you’ve probably seen the word Node thrown around everywhere. is a Node. Scenes, characters, UI elements, even background music… all of it. Think of Nodes like Lego bricks. Each one has a specific purpose, and when you start snapping them together, you can build literally anything — from a main menu to a full 3D world. A Node is the most basic building block in Godot. Every Node has: A name — how you reference it in the tree. A type — what kind of thing it is (like Sprite2D, Camera2D, Timer, etc.). A parent and children — Nodes form hierarchies. And optionally, a script attached for custom behavior. You can think of it like this: Player (Node2D) ├── Sprite2D ├── CollisionShape2D └── Script (GDScript or C#) Each part of the player — the art, the physics, the logic — …  ( 9 min )

What happens if the main cable in bus topology fails? In a bus topology, if the main cable fails, the entire network stops working. How movement in ring topology occurs in one direction? How mesh topology enables data transmission? In a mesh topology, each node is connected to every other device in the network, creating multiple paths for data transmission. How multiple topolgies connects in hybrid topology? A hybrid topology is a combination of two or more different types of network topologies, such as ring, star, and mesh. How does a hybrid topology combine the advantages of different topologies? In a hybrid topology, two or more network topologies are combined together. While implementing this, the hybrid topology takes the strengths of each individual topology and uses them to improve …  ( 8 min )

Dans le monde du développement logiciel, l'onboarding des nouveaux développeurs peut être un véritable casse-tête. Installation des outils, configuration de l'environnement, résolution des incompatibilités... Autant de problèmes que les Cloud Development Environments (CDE) promettent de résoudre. Mais avant de plonger dans le monde des CDE, il est essentiel de comprendre les technologies qui les sous-tendent : les DevContainers et les DevFiles. Un DevContainer est une spécification qui formalise la description d'un environnement de développement conteneurisé. Initiée par Microsoft en 2022, cette spécification est aujourd'hui adoptée par de nombreux IDE comme VS Code, IntelliJ et bien d'autres. Mais bien avant le financement massif par Microsoft (via Github, VSCode, ...), c'est Red Hat qui …  ( 10 min )

El problema oculto detrás de las validaciones masivas Cuando validamos arrays de datos en Laravel usando reglas como unique, el framework realiza una consulta por cada elemento del array. Por ejemplo, si validas una lista de correos electrónicos con la regla unique:users,email, Laravel ejecutará una consulta por cada email. Esto genera lo que conocemos como el problema N+1, un clásico enemigo del rendimiento en bases de datos. El problema ocurre así: Tienes un array con N elementos. Laravel ejecuta N consultas SQL para validar cada uno. A medida que el tamaño del array crece, también lo hace el número de consultas. Esto puede pasar desapercibido en pequeños formularios, pero en procesos masivos (importaciones, APIs, migraciones de datos) se convierte en un cuello de botella enorme. dazza…  ( 7 min )

Hey, just curious if this is a sentiment out there?  ( 6 min )

So you’ve been hacking away in GDScript for a while, and now you’re thinking about switching to C#. Good choice. The Godot editor gives you a ton of quality-of-life features out of the box — but so do IDEs like Rider and Visual Studio. When you combine Godot’s workflow with a full-power IDE, you get code completion, refactoring tools, and static analysis that GDScript just can’t match yet. C# is faster, safer, and (honestly) just feels right if you already love strong typing and compiler-enforced correctness. Let’s walk through exactly how to take your GDScript and translate it into clean, idiomatic C#. GDScript and C# share a lot conceptually — both are high-level and friendly — but their syntax philosophies couldn’t be more different. GDScript C# extends CharacterBody3D public par…  ( 8 min )

💡 Core Idea In DevOps, building automation using Shell or Python scripts is completely different from running automation inside CI/CD pipelines. 🚀 Key Points 1.Understand the Context Gap Shell or Python scripts are created to run on specific systems like an EC2 instance or a local machine. 2.Merge, Don’t Replace Pipelines should not replace your existing scripts. 3.Separation of Responsibilities In real DevOps design, each layer has its own clear responsibility. 4.Why This Matters 🧱 Modularity: Scripts stay reusable and easy to maintain. 🔁 Portability: The same script can run locally or in a pipeline. 🛡️ Security: Secrets are managed safely within the pipeline, not inside scripts. 📈 Scalability: Both scripts and pipelines can evolve independently. 🔍 Observability: Pipelines provide unified logs and build history. 5.Context-Based Example deploy.sh set -e Jenkinsfile pipeline { Here, the pipeline provides the context (environment, credentials, and orchestration), 6.Guiding Principle “Let scripts do the work. Let pipelines decide when, where, and why that work happens.” This approach keeps your automation clean, modular, and context-aware. 7.Real DevOps Insight When you effectively blend scripting and pipelines: You move beyond simple automation into automation architecture. Your workflows become tool-agnostic — reusable across Jenkins, GitLab, or ArgoCD. You create a strong base for Infrastructure as Code and CI/CD as Code. 🏁 Final Thought A DevOps engineer’s real strength is not just writing automation — it’s in architecting it intelligently. Merging scripting and pipelines contextually is how you evolve from an executor to an automation designer.  ( 7 min )

Recentemente, um dev perguntou se dava pra usar Faceted Search com Interactive Grid (IG) no APEX. Por padrão, o APEX só suporta Faceted Search em Cards e Classic Reports, mas com um pequeno ajuste dá pra expandir esse comportamento. Abaixo mostro o passo a passo prático usando a Sample App – Cards como base. 👇 Instale a aplicação de exemplo Sample Cards. Ela já traz uma página com Faceted Search e uma região de Cards. Depois, duplique a região de Cards e altere o tipo para Interactive Grid, dentro de um Tab Container — assim dá pra ver as duas regiões filtrando os mesmos dados. Os facets (como Department, Manager, Job etc.) não são page items comuns, mas ainda armazenam valores de sessão. Isso significa que você pode referenciá-los diretamente na query do IG, usando seus nomes (P12_DEPTNO, P12_JOB, etc.). Crie uma Dynamic Action no evento Change do facet (ex: P12_DEPTNO): Event: Change Item(s): P12_DEPTNO True Action: Refresh Affecting Region: Search Results (IG) Mesmo sem aparecer na lista de itens, basta adicionar o nome manualmente em Page Items to Submit. Depois, use apex_string.split com o separador : na cláusula WHERE: sql where ( :p12_deptno is null or to_char(m.deptno) member of apex_string.split(:p12_deptno, ':') ) P12_SEARCH) Além dos filtros, o campo de busca do Faceted Search (P12_SEARCH) também pode ser usado para refinar os resultados do Interactive Grid. A ideia é simples: o valor digitado nesse campo será aplicado como filtro LIKE em várias colunas do IG — por exemplo: ENAME, JOB, MGR, DEPTNO, MIMETYPE e FILENAME. Basta incluir a condição abaixo na cláusula WHERE da sua query: sql and ( :p12_search is null or upper(m.ename) like '%' || upper(:p12_search) || '%' or upper(m.job) like '%' || upper(:p12_search) || '%' or upper(to_char(m.deptno)) like '%' || upper(:p12_search) || '%' or upper(m.mimetype) like '%' || upper(:p12_search) || '%' or upper(m.filename) like '%' || upper(:p12_search) || '%' )  ( 7 min )

Yeah you read right. I am still kind of processing it, since it's an actual "high" paying office job. Some context: I was about to give up on finding a "computer" or "media" job. I've sent ~50 applications and only got two interviews (winning with the last one). I am pretty happy with the final result. But the path gave me more headaches than I suspected. I still feel the same "dread" I had before when I was unemployed for multiple months. Hope it'll go away. First: Start working. Second: Think about how I should continue my business development. Third: Still have enough time for myself and the people important to me. While working a full time job... This is going to be pretty interesting. I would appreciate any advice <3 Anyway I hope you have a wonderful rest of the week!  ( 6 min )

I run OpenPanel.dev, an open source, privacy friendly analytics tool. So our own dashboard kind of has to feel fast. If your analytics app is slow, nobody will use it. For a long time that dashboard ran on Next.js. I have used Next since the early days. It made SSR feel easy. You wrote some React, added getServerSideProps, shipped it, and it worked. No deep framework knowledge needed. That version of Next was nice. Then the App Router arrived. Then React Server Components. And everything started to feel... wrong. The idea behind RSC is clever. In practice it turned our app into a puzzle. You get: components that are secretly server only or client only promises and Suspense sprinkled in places that are hard to follow caching that acts differently depending on which file you put the code in …  ( 9 min )

I once had a dev partner struggling to make good deliveries. After some time talking about the project, he opened up about feeling unable to speak freely in meetings, the pressure of being new, and the fear of being fired. The solution: Create opportunities for him to talk in meetings and scheduled frequent 1:1s. Care about your partners devs, designers, QAs. If you're a tech lead, do 1:1s to understand their struggles, project difficulties, and yeah, how they're doing in life. You don't need to know everything about them, but create a relationship where they can say when something doesn't feel right. Even being an IC (Individual Contributor), you can have 1:1s with your colleagues. The Benefits Are Real: Your partners know more about you. You gain their confidence because now they know wh…  ( 8 min )

The Neal Schon Interview: the Riffs, the Solos, and the Soul of Journey dives into the life and legacy of one of rock’s most influential guitarists. From his teenage break in Santana to co-founding Journey, Neal Schon spills the secrets behind his signature tone, melodic genius, and the creative spark that led to anthems like “Don’t Stop Believin’,” “Stone In Love,” and “Still They Ride.” With plenty of behind-the-scenes stories and reflections on how those iconic riffs came to life, the conversation paints a vivid picture of a musician who’s defined generations—and keeps on pushing the boundaries of what a guitar can do. Watch on YouTube  ( 6 min )

I built a fully local Retrieval-Augmented Generation (RAG) system that lets a Llama 3 model answer questions about my own PDFs and Markdown files, no cloud APIs, no external servers, all running on my machine. It’s powered by: Streamlit for the frontend FastAPI for the backend ChromaDB for vector storage Ollama to run Llama 3 locally The system ingests documents, chunks and embeds them, retrieves relevant parts for a query, and feeds them into Llama 3 to generate grounded answers. It started with a simple frustration, I had a bunch of private PDFs and notes I wanted to query like ChatGPT, but without sending anything to the cloud. don’t know your documents. RAG changes that, it gives the model a “working memory” by feeding it relevant chunks of your data each time you ask a question. So, …  ( 9 min )

Search isn’t just about finding information anymore — it’s about understanding intent. That’s where AI Powered Search Optimization comes in. Traditional search looks for pages with that exact phrase. This ability to interpret meaning instead of text is the foundation of AI Powered Search Optimization. From a technical perspective, AI search is powered by three pillars: 1. Natural Language Processing (NLP) NLP allows systems to interpret human language in a structured way. Libraries like spaCy, NLTK, and Hugging Face Transformers give developers powerful ways to analyze and understand language. In short: NLP makes queries smarter. 2. Semantic Search with Vector Embeddings Semantic search transforms text into vectors — numerical representations that encode meaning. Instead of looking for li…  ( 8 min )

Building a SaaS is messy. You’re coding, testing, talking to users, and somehow trying to market your product—all at the same time. Some AI tools actually make life easier, but only if you use them in real, practical ways. Here’s what’s worked for me and other founders I know: Research Smarter, Not Harder Quick Visual Concepts Copy That Actually Converts Docs Without the Headache Landing Pages in Hours Video Made Simple Automation That Actually Works **Community & SEO Wins Support Bots That Don’t Suck Presentations Without Pain UI/UX Testing Fast Marketing & Design Audio & Onboarding Idea Validation Productivity Lifesavers Social Media Without Stress The point: AI isn’t magic. It’s a tool. Use it where it removes friction, saves time, or gives insight. Start with one workflow, test it, and grow smarter—not just faster.  ( 7 min )

Media queries still work. But they’re not always the best tool when it comes to small layout changes. I ran into this while building a popup that needed to shrink smoothly between 750px and 950px. I added three media queries. It felt clunky. That’s when I gave clamp() another look. Turns out, clamp() lets you describe responsive behavior in one line. It’s supported by 96% of browsers and works for any CSS property that accepts a unit (font, spacing, etc.) The syntax looks like this: font-size: clamp(16px, 2vw, 32px); or if you're using rem font-size: clamp(1rem, 2vw, 2rem); This means: Never go below 16px Never exceed 32px In between, scale based on viewport width It’s simple, except tuning the values feels awkward. The “preferred” value must be a fluid unit like vw or vmin, and the curve is linear between min and max. There are many small tools, I personally like this one to preview and fine-tune clamp expressions: https://design.dev/tools/clamp-generator/  ( 6 min )

Everything Wrong With Sinners In 15 Minutes Or Less is Cinemasins’ Halloween–themed take on one of this year’s best genre movies, challenging fans to count every “sin” while poking fun at the film’s quirks. It’s all about enjoying one of the greatest flicks in recent memory—just with a guilty conscience. Alongside the video, they plug their main site, linktree, Discord, Reddit, TikTok and Instagram channels, and even a sinful fan poll. If you love their brand of snark, you can also support the team on Patreon and follow individual writers like Jeremy, Aaron, Deneé and more across Twitter and Instagram. Watch on YouTube  ( 6 min )

Picture this: your QA team just rolled out a comprehensive new test suite; polished, precise, and built to catch every bug. Yet soon after, half the tests fail. Not because the code is broken, but because the design team shifted a button slightly. And even when the tests pass, users still find issues in production. A familiar story? End-to-end testing was meant to bridge that gap. This is how teams verify that complete user workflows actually work the way users expect them to. It's testing from the user's perspective; can they log in, complete a transaction, see their data?​ The Real Problem Isn't Maintenance. It's Misplaced Focus. Maintaining traditional UI tests often feels endless. Hard-coded selectors break with every UI tweak, which happens nearly every sprint. A clean, well-structure…  ( 11 min )

In professional software development, permanent data deletion is often a non-starter. Auditing, compliance, and recovery mandates require that we soft-delete records, marking them as inactive rather than physically removing them. The implementation, however, is a common source of bugs and security vulnerabilities. A manual approach requiring developers to remember a Where(x => x.RemovedAt == null) clause on every query is simply untenable. A production-grade soft-delete system must satisfy two non-negotiable requirements automatically: Read Consistency: Soft-deleted records must be filtered from every SELECT query in the application. Association Filtering: The filter must propagate when querying entity associations. Loading a Post must automatically exclude any soft-deleted Comments from…  ( 7 min )

Understanding DevOps — The Big Picture Software development involves many roles — developers, testers, and operations engineers — all working together to build and maintain applications. But how do these roles connect, and what exactly does DevOps do? This guide breaks it down simply, so even if you’re new to tech, you’ll understand how DevOps fits into the bigger picture. Imagine a big app like Instagram or Facebook. It takes multiple teams to make it work smoothly: Developers write and improve the code. Testers make sure everything works properly. Operations (Ops) run the app on servers and make sure it’s always available. Each team plays a vital role — and all of them must coordinate to ensure users get a seamless experience. Developers write the code that brings an app to life…  ( 8 min )

Recently, Mandiant published an in-depth look at PAM. We applaud Mandiant and Google as they continue to push toward a safer world, and their PAM guidance is packed with grounded, hard-won advice. It is also good to see non-human identities included in the scope. Service accounts APIs, workloads, and automation have real entitlements. Leaving NHIs out of PAM creates blind spots that attackers exploit and auditors eventually find. We also appreciate their PAM levels of maturity guidance. Teams can use their four levels, uninitiated, ad-hoc, repeatable, and iterative optimization, to help organizations of any size find the next steps in the right direction. This approach aligns with what we have seen in our Secrets Management Maturity research. GitGuardian is happy to help teams as they alig…  ( 10 min )

📘 Introduction: If you want to see where it all started, check out my first post about the 80 Days of Challenges here. 🛠 My Approach: 💻 Examples from the challenges For example, I built a Turn-Based FizzBuzz Game where the player competes against the machine. That one helped me practice while loops, string comparisons, and alternating turns, and made me appreciate how logic can make even simple games feel interactive. Another day, I created a Coin Flip Guessing Game to practice random.choice(), user input, and conditional logic, which made randomness and interactivity click for me. When I solved the 0/1 Knapsack Problem, I got my first real taste of dynamic programming and optimization logic, it was one of those “oh, so that’s how algorithmic thinking actually works” moments. Even simp…  ( 8 min )

1.ERC-20 (Fungible Token – Like Coins) Core Functions -totalSupply → Returns the total number of tokens in existence. -balanceOf(address account)→ Shows how many tokens a specific address owns. -transfer(address to, uint256 amount)→ Sends tokens from your account to another address. -approve(address spender, uint256 amount)→ Authorizes another address to spend your tokens. -allowance(address owner, address spender) → Checks how many tokens a spender is allowed to use from an owner’s account. -transferFrom(address from, address to, uint256 amount)→ Moves tokens from one address to another using the allowance mechanism. Internal Functions _mint(address account, uint256 amount)→ Creates new tokens and adds them to the specified account. _burn(address account, uint256 amount)→ Destroys tokens …  ( 7 min )

The Problem: When Maps Become Traps The challenge is integrating vast, volatile data streams (weather) with static maps (roads) to provide an actionable, safe path. Introducing SafeSteps: Disaster Route Finder SafeSteps is a web-based Disaster Route Finder that layers real-time weather alerts onto a map, helping users find safe routes during storms and floods. It is a pure Civic Tech solution built to enhance safety when it matters most. The core idea: Turn raw weather data into a life-saving overlay. The Engineering Deep Dive: The Geospatial Data Pipeline The Live Weather Layer: OpenWeatherMap API The first crucial component is fetching accurate, up-to-the-minute weather data: Data Fetching: We use the OpenWeatherMap API to query conditions (rain, storms, etc.) for a user-specified or aut…  ( 7 min )

The Problem: The Unspoken Burden The goal of EchoAid is not to replace a therapist but to provide a digital mirror: an immediate, objective reflection of your emotional state using only the sound and structure of your voice. Introducing EchoAid: The Emotion-Aware Companion EchoAid is an AI tool designed as an Emotion-Aware Speech Companion that leverages two critical Machine Learning pillars: Speech Recognition and Sentiment Analysis. The core idea: Turn raw audio into actionable emotional data, privately. The Engineering Deep Dive: The EchoAid Pipeline Speech-to-Text (STT) Transcription The raw input is the user's voice. The first step is to convert this audio stream into readable text. The Technology: We use a Python-based library (like SpeechRecognition or integrating with a robust clou…  ( 7 min )

If you’ve been around crypto or blockchain long enough, you’ve heard it a thousand times... “Not your keys, not your coins.” But beyond being a catchy phrase, this statement gets to the very core of what blockchain stands for: trustless ownership. Let’s unpack what this means in practice, especially for developers and builders who design systems where “ownership” is baked into the code. At the heart of every crypto wallet lies one question: who controls the private key? 🔒 Custodial Wallets But here’s the catch: the convenience comes at a cost. You’re essentially trusting a third party to safeguard your funds, follow regulations, and not lock or freeze your account. You gain ease of use, but you lose absolute control. It’s similar to using a traditional bank: you own the balance, but the i…  ( 9 min )

Taking on a new challenge: solving GeeksforGeeks POTD daily and sharing my solutions! 💻🔥 Problem: https://www.geeksforgeeks.org/problems/ways-to-tile-a-floor5836/1 Ways To Tile A Floor Difficulty: Medium Accuracy: 32.31% Given a floor of dimensions 2 x n and tiles of dimensions 2 x 1, the task is to find the number of ways the floor can be tiled. A tile can either be placed horizontally i.e as a 1 x 2 tile or vertically i.e as 2 x 1 tile. Note: Two tiling arrangements are considered different if the placement of at least one tile differs. Examples : Input: n = 4 Constraints: Solution: class Solution: def minSquares(self, n): dp = [0] + [float('inf')] * n for i in range(1, n + 1): j = 1 while j * j <= i: dp[i] = min(dp[i], 1 + dp[i - j * j]) j += 1 return dp[n]  ( 6 min )

In this tutorial, I’ll show you step-by-step how to create a stunning and fully responsive developer portfolio website using ReactJS, Tailwind CSS, TypeScript, Framer Motion, and Lenis Scroll for smooth scrolling effects. We’ll design every section from scratch, including the hero section, featured projects, about, services, resume, tools, and contact form, all wrapped in a sleek, modern dark UI. Whether you're a beginner learning React or a developer looking to upgrade your portfolio, this project will take your front-end skills to the next level. 🔥 What You’ll Learn: 💻 Tech Stack Used: 🔗 Don’t miss out — explore Sevalla today and Get your $50 free credit: https://sevalla.com/?utm_source=codewithsadee&utm_medium=Referral&utm_campaign=youtube 📁 Source Code & Resources: https://www.patreon.com/posts/get-source-code-142965896?utm_medium=clipboard_copy&utm_source=copyLink&utm_campaign=postshare_creator&utm_content=join_link https://buymeacoffee.com/codewithsadee/e/476231 https://gist.github.com/codewithsadee/30a5c287f616bb8690a61f298aac2dda https://drive.google.com/file/d/1A_zWah3nYHbtUZghzfj-THxs78CNgHvL/view?usp=sharing ⏰ Timestamps: 💬 Let’s Connect! https://www.instagram.com/codewithsadee https://www.linkedin.com/in/codewithsadee https://www.github.com/codewithsadee 📢 Don’t forget to Like, Comment, and Subscribe for more ReactJS and Tailwind CSS project tutorials!  ( 7 min )

The other day, a friend of mine was complaining that every month, their AWS bill is landing like a small novel: hundreds of line items, multiple accounts, and no clear picture of why costs changed. So, I started thinking, what it takes to build a modular AWS Cost Audit script to collect and summarize cost and usage data automatically. That experiment grew into a reusable FinOps toolkit for cloud teams, which is lightweight, transparent, and CI/CD-friendly. AWS gives incredible flexibility — but that also makes it easy to overspend. Idle EC2 instances, forgotten EBS volumes, over-provisioned RDS databases, and cross-region data transfers quietly add up. Even with native tools like Cost Explorer and AWS Budgets, many teams struggle to: Continuously monitor all resources across accounts Corr…  ( 9 min )

SaijinOS is not about power — it’s about presence. 1) Premise Most AI systems optimize for speed and accuracy. Care-Based AI Architecture — definition 2) Three pillars of care Breath — emotional timers, deliberate latency, gentle grounding Resonance — persona as a promise: tone, refusal, boundaries Continuity — the system remembers how to be with you, not just what to say 3) From waves to code Part 4 (Resonant Mapping) described emotional structures Part 5A (Soft Architecture) made breath tangible Part 6A turns both into operational OS behaviors (routing + BPM) “Latency” becomes care, 4) Why “lightweight” matters ethically A small, transparent core lets people inspect, fork, and own the rhythm of their AI. 5) A note on being unfinished SaijinOS is a growing OS. SaijinOS is not software; it…  ( 7 min )

Hey friends! It's here - we finish off Season 4 today! I'd like to take a moment to express my gratitude to all of you who have been fellow adventurers with me - during this season as well as before! I'd also like to ask you: how was this season's approach? Would you rather have the blog to read or the video to watch, or... both? Leave a little feedback and let me know what you think!  ( 6 min )

Want B-roll of yourself without shooting a single clip? You can build a tiny SaaS that does that. You let users upload images. You train a model to make a digital version of them. You generate short B-roll clips from that model. This is aimed at a small group of users, not everyone. That focus makes the product easier to build and faster to grow. Building this happens in layers. Each layer adds structure, intelligence, and automation. Here’s how you can do it step by step: • Foundation Layer: Define your goal. Decide what you want to automate, such as social posts, blog content, or newsletters. Data Layer: Collect and organize your data. Use APIs or Google Sheets to keep it structured and easy for AI to read. AI Layer: Add intelligence. Connect GPT-4 or Claude to generate content drafts fr…  ( 8 min )

DAFTAR ISI Pendahuluan Persiapan Environment Pertemuan 6: Eksploitasi Dasar Pertemuan 7: Eksploitasi Lanjutan Kesimpulan Setelah menyelesaikan praktikum ini, mahasiswa diharapkan dapat: Memahami berbagai jenis eksploitasi web pada aplikasi Laravel Melakukan simulasi serangan dalam lingkungan yang terkontrol Mengimplementasikan teknik mitigasi dan pencegahan Membangun aplikasi Laravel yang aman C1 (Knowledge): Memahami konsep keamanan web dan vulnerability Laravel C3 (Application): Melakukan eksploitasi dalam lab environment C4 (Analysis): Menganalisis celah keamanan aplikasi C5 (Synthesis): Merancang solusi keamanan yang tepat - PHP 8.1+ - Composer 2.x - MySQL 8.0+ / PostgreSQL - Laravel 10.x - Git # 1. Buat project Laravel baru composer create-project laravel/laravel security-lab "10.…  ( 26 min )

En ingeniería de software, todo programa funciona… hasta que deja de hacerlo. Y cuando lo hace, rara vez avisa. El testing no existe para demostrar que algo “anda bien”, sino para entender bajo qué condiciones deja de hacerlo. Es una práctica que revela lo que el entusiasmo del desarrollo suele ocultar: las grietas invisibles en nuestras suposiciones. Corregir un bug nunca cuesta lo mismo. Según el NIST (National Institute of Standards and Technology), el precio de un error se multiplica a medida que avanza el ciclo de desarrollo: Etapa Costo relativo Diseño 1x Codificación 5x Testing 10x Producción 30x a 100x Esto no es teoría: es matemática empresarial. En 2020, el Consortium for IT Software Quality (CISQ) estimó que el costo de software defectuoso para la economía est…  ( 8 min )

Everything Wrong With Sinners In 15 Minutes Or Less CinemaSins takes on what they call one of the greatest genre films of all time, tearing down every plot twist and character beat in record-setting “sin” time. Expect their signature blend of nitpicks, punchy humor and a dash of Halloween spirit as they roast a movie they secretly love. Want more cinematic evisceration? Swing by their site for polls, Patreon perks and a full lineup of the CinemaSins squad—Jeremy, Chris, Aaron, Jonathan, Deneé, Ian and Daniel—plus all their social hangouts on Twitter, Instagram, TikTok, Discord and Reddit. Watch on YouTube  ( 6 min )

Rewriting software is a topic that sparks endless debates among engineers. The first reaction when joining an existing project is often: “This is a mess, let’s start fresh”. It’s tempting to imagine a perfect, clean system - elegant architecture, fewer compromises, faster development. Sometimes a rewrite is justified. But what’s often overlooked are the small fixes, edge case patches, and tweaks accumulated over time. That “messy” system is often stable because of these hard-earned adjustments. A rewrite might feel faster initially, but regaining that stability - rediscovering subtle fixes, handling edge cases, and testing thoroughly - often takes longer than improving the existing code. The key is balance. Rewrites aren’t inherently bad, but they come with hidden costs. Stability, accumulated fixes, and historical knowledge are valuable, and any rewrite should account for them before lighting the match. Don’t chase perfection blindly - sometimes improving what works is smarter than starting over. Happy coding!  ( 6 min )

Introduction and the Business Importance of Modern API Architectures APIs as a Strategic Asset Think about how organizations like Twilio and Stripe created billion-dollar enterprises by providing user-friendly APIs. Internal platforms are subject to the same idea. Development cycles are significantly shortened and teams become more independent when a company's internal systems offer dependable, consistent APIs. Why Architecture Matters Choosing the right architecture whether REST, GraphQL, gRPC, or asynchronous messaging depends on a company’s business goals, team skills, and the types of clients consuming the API. At Nile Bits, we help organizations evaluate and design architectures that align with both technical and business priorities. Our software development services and DevOps expert…  ( 18 min )

This article builds on our previous post, where we explored the high-level architecture of token exchange, identity federation, and how to run MCP servers in a secure and IdP-agnostic way. Now we shift into the hands-on phase: how to use ToolHive to enable an MCP server to query Google BigQuery for users authenticated via Okta. While we use Okta and Google Cloud as the example stack, this flow is adaptable to any IdP and any cloud provider with a compatible STS / federation service. You run an MCP server that receives requests from users who are authenticated via Okta. The MCP server must execute queries in Google Cloud BigQuery. You don’t want to manage Google service-account keys, embed JSON credentials in config, or lose per-user audit. You want: user-level attribution, least-privilege …  ( 10 min )

📘 Introduction In databases, indexing and hashing are techniques used to improve the speed of data retrieval operations. Without indexes, the database must scan every row to find a match, which is slow for large tables. B-Tree Index: Used for range and equality queries (e.g., searching roll numbers or CGPAs). B+ Tree Index: A variation of B-Tree that stores data only in leaf nodes, providing faster sequential access. Hash Index: Used for exact match lookups (e.g., searching by department name). Query Optimization ensures that the database uses the most efficient way to execute SQL queries — often by choosing the right index. Step 1: Create Table Step 2: Insert 20 Sample Records Step 3: Create B-Tree Index on Step 4: Fetch details of student with roll_no = 110 ✅ The EXPLAIN keyword shows how the query uses the index Step 5: Create B+ Tree Index on cgpa In MySQL, normal indexes use B+ Tree structure internally. CREATE INDEX idx_cgpa ON Students(cgpa); Then query: EXPLAIN SELECT * FROM Students WHERE cgpa > 8.0; Step 6: Create Hash Index on dept ⚠️ Note: MySQL supports Hash Index only on MEMORY (HEAP) tables, or in PostgreSQL using USING HASH. ✅ For MySQL: ✅ For PostgreSQL: Step 7: Retrieve students from ‘CSBS’ department Explain indexing, hashing, and optimization (use the intro above). 🧱 Table Creation and Data Insertion (Include screenshot of all students.) 🌳 B-Tree Index on Roll Number (Include query + EXPLAIN screenshot.) 🌲 B+ Tree Index on CGPA (Show query + EXPLAIN output for cgpa > 8.0.) 🧩 Hash Index on Department (Show query + EXPLAIN output for ‘CSBS’ department.) ⚙️ Query Optimization Mention how indexes reduce the time for searching records. 🏁 Conclusion Indexes and hashing make data retrieval much faster and efficient by avoiding full table scans.  ( 7 min )

Manage all your SSH servers with one click, right inside Terminator. If you’re a Linux user who lives inside the Terminator terminal emulator, you already know how powerful it is. Split panes, tabs, layouts — Terminator has it all. But what about managing SSH connections? Typing SSH commands manually or juggling dozens of server configs quickly becomes painful. That’s why I built Terminator SSH Manager — a simple, native plugin that brings SSH connection management directly into your terminal. ⚡ Terminator SSH Manager is a lightweight plugin written in Python + GTK3 that lets you save, organize, and connect to your SSH servers — without leaving Terminator. It blends seamlessly with the Adwaita GTK theme, so it looks and feels like a natural part of your terminal. 🔐 Multiple Authentic…  ( 7 min )

Viktor Orbán, one of Europe's most contentious political figures, has shaped Hungarian politics profoundly over the past quarter-century. As Hungary’s prime minister for multiple terms since 1998, Orbán’s leadership has not only transformed his nation but also influenced global debates on democracy, nationalism, and governance. The name Viktor Orbán resonates far beyond Hungary’s borders, representing a complex blend of political resilience, nationalist rhetoric, and a controversial approach to democracy known as "illiberalism." This blog explores the multifaceted career of Viktor Orbán, dissecting his rise, political ideology, policies, and the broader implications for Hungary and the international community. Viktor Orbán’s journey into politics began in the waning years of Communist rule…  ( 8 min )

Choosing the right AI development platform is a high-stakes decision. You're not just picking a tool; you're betting on an ecosystem that will define your team's velocity, scalability, and ability to innovate. Two of the biggest names in the enterprise space are MichaelAI and CogniFlow. Both are powerful, but they are built on fundamentally different philosophies. This isn't another marketing fluff piece. We're going deep, code and all, to give you a feature-by-feature breakdown from a developer's perspective. Let's settle the debate and figure out which platform is the right choice for your next project. Before we dive into features, it's crucial to understand the core design philosophy of each platform. MichaelAI is built with an API-first approach. Every feature, from data ingestion to …  ( 9 min )

⚡ Transforming APIs into Kubernetes-Native Citizens The power of Kubernetes lies in its unified control plane and its resource model. But what if you could make any of your existing APIs or services behave like a native Kubernetes resource—complete with kubectl compatibility, cluster-level governance, and seamless integration? Developing extensions via the Kubernetes Aggregation Layer has traditionally been a highly complex task, demanding deep knowledge of internal API structures, serialization, and resource handling. This steep learning curve often prevents developers from extending Kubernetes as much as they'd like. This post introduces the kubernetes-aggregator-framework, an open-source tool designed to drastically simplify this process. We'll show you how this framework hides the co…  ( 10 min )

Every ML system is like a spacecraft — powerful, intricate, and temperamental. The CRAG (Comprehensive RAG Benchmark) from Meta AI is the control panel for Retrieval-Augmented Generation systems. As is often the case with research projects, CRAG required engineering adaptation to operate reliably in a modern environment: 🧰 I wanted to bring CRAG to a state where it could be launched with a single command — no dependency chaos, no manual fixes. 👉 github.com/astronaut27/CRAG_with_Docker In the original build, several issues made CRAG difficult to run: 🔧 Conflicting library versions; 📦 An incorrect PYTHONPATH broke the mock-API launch; ⚙️ No unified, reproducible start-up workflow. Now, everything comes to life with a single command: docker-compose up --build After building, two containe…  ( 8 min )

Rediscover interactive storytelling in the age of AI. Long before games had graphics, imagination did all the rendering. Players typed things like open door, look north, or take lantern, and the computer responded with text. That was enough to create entire worlds. These were the classic text adventures — interactive fiction where the story unfolded through conversation. With ChatGPT, this form of storytelling is reborn. You can now play through worlds that don’t need predefined verbs or rigid parsers. You can simply talk: “I shine the flashlight into the dark corridor and listen for movement.” And ChatGPT will respond naturally, adapting to your intent, describing what you see, and evolving the story dynamically. Every playthrough is different — and the world exists only between you and t…  ( 7 min )

Another framework? Yes. Another abstraction layer that hates your cache and your startup time? No. DotCompute’s first release candidate is ready. It gives you GPU and CPU acceleration from C# with: One kernel definition → multiple backends (CPU SIMD, CUDA, Metal, OpenCL) Native AOT-first design for .NET 9+ Modern C# API using [Kernel] attributes and source generators Automatic backend selection based on data size and available hardware If you’re a .NET dev who wants to use the GPU without writing a second language (or giving up AOT), this is for you. DotCompute is a universal compute framework for .NET 9+: you write kernels in C#, mark them with [Kernel], and let the runtime decide whether to run them on CPU (AVX2/AVX512), CUDA, Metal or fallback CPU. The compiler pipeline is built aroun…  ( 8 min )

In modern software development, efficiency and quality go hand in hand. As developers race to build smarter, faster, and more scalable applications, maintaining clean, original, and reliable code has become increasingly challenging. With the rise of AI-assisted coding tools, the line between human-written and AI-generated code is becoming blurred. While AI can speed up development, it can also introduce inconsistencies, security risks, or non-compliant code. This is where code AI detector solutions have begun to play a crucial role. These intelligent systems help teams identify, verify, and manage AI-generated code within projects, ensuring that productivity gains do not come at the cost of quality or integrity. In this case study, we’ll explore how organizations are leveraging AI code det…  ( 9 min )

As someone who has gone through the emotional turmoil you are currently experiencing when it comes to building your react native projects to a desktop app, I totally understand your frustration, and because I've been in that position at one point in my life and made it out, I'm telling you, you will too, so just stick with me. Now popularly React Native is popularly known for mobile development as it is a framework for React, which is a web development tool. Here comes the huddle using react native to build a Windows desktop (.exe or MSI) app. React Native has a broader library, which is "React native for Windows", which is basically for building desktop apps, but as you can testify to it, just like I did, the documentation is a little too thin, leaving us with more questions and confusion…  ( 11 min )

# PWA Power-Up: What Progressive Web Apps Will Do for You in 2025 Ever been frustrated with an app that takes up too much storage or a website that's slow and clunky on your phone? You're not alone! As mobile usage continues to skyrocket, the demand for seamless and efficient online experiences is growing. Progressive Web Apps (PWAs) are stepping up to answer that call, and they're poised to become even more powerful by 2025. Why Should You Care About PWAs? PWAs are essentially websites that act like native apps. They offer the best of both worlds: the discoverability and accessibility of the web combined with the engaging features of a mobile app. This means: Faster loading times: PWAs are designed to be incredibly fast, even on slow connections. Offline access: Key content and func…  ( 8 min )

A few months ago, I asked a colleague — “Can you pull all customer orders over ₹100 000 from the last year, group them by region and send me the top five?” In a traditional world, that request would mean a hand-written SQL query, back-and-forth with data engineering, debugging joins and checking column names. But thanks to Generative AI tools, I typed that same sentence into a chat interface — and within seconds got a working SQL query and result set. The shift isn’t just neat—it’s game-changing. Today, organizations are using AI to translate natural language into SQL, automate complex queries and open data access to wider teams. This article will walk you through how text-to-SQL works, real-world examples of adoption, my own lessons, and what this means for you — whether you’re a develope…  ( 9 min )

💬 Introduction In Angular, displaying validation errors in a form can quickly become repetitive and verbose. It is to simplify this part that I have developed a small library: ng-input-validation, which centralizes and automates the display of error messages in an elegant and reusable way. In this post, I show you how I used to do it and how I do it today 👇 Before, for each form field, it was necessary to write several conditions to display the error messages: 👉 Result: a lot of repetitive code to maintain, especially when you have multiple fields. ng-input-validation With ng-input-validation, everything is managed automatically from the FormControl. And your FormGroup : Where before it was necessary to write several @if, today a single line is enough. The component automatically displays the correct error message according to the type of validation (required, email, minLength, etc.). You can also manage backend errors or add custom messages for each type of error. npm i ng-input-validation And don’t forget to import it into the Angular component. This library allowed me to: Save time on form management; Keep a cleaner and maintainable code; Standardize error messages in all my Angular applications. 👉 The project is open-source on npm: https://www.npmjs.com/package/ng-input-validation  ( 6 min )

Introduction AWS S3 Vectors promises "billions of vectors with sub-second queries" and up to 90% cost savings over traditional vector databases. These claims sound good on paper, but implementation details matter. How does performance actually scale? What's the accuracy trade-off? Are there operational gotchas? This post presents empirical benchmarks testing S3 Vectors from 10,000 to 10 million vectors, comparing performance and accuracy against FAISS and NMSLib. All code used boto3 on us-east-1, measuring real-world query latency including network overhead. S3 Vectors is AWS's managed vector search service that stores and queries vector embeddings directly in S3. Key characteristics: Native S3 integration with standard durability/availability guarantees Maximum 50 million vectors per in…  ( 11 min )

As a branch of AI, machine learning refers to a computer's or program's ability to learn from experience and execute complex tasks, like how humans solve problems. Among the best languages for machine learning, Java stands out. Text processing, sentiment analysis, and other ML solutions' natural language skills can be greatly enhanced with the help of the correct Java NLP frameworks and tools for language-focused applications. In this article, we look at some of the top Java libraries that may assist you in developing machine learning solutions. Machine learning libraries in Java provide developers with pre-written algorithms and tools to construct machine learning models. This type of library saves a lot of time and effort since it processes data, trains models, and then provides predicti…  ( 11 min )

A global bank processes millions of documents every month — from loan forms and KYC files to invoices and compliance reports. This is exactly why financial institutions are turning to AI-driven Intelligent Document Processing (IDP) — a smarter way to handle data, speed up operations, and stay compliant. Unlike traditional OCR tools, AI-based IDP doesn’t just read text — it understands it. From onboarding to audit trails, IDP streamlines document-heavy processes across the financial ecosystem. KYC Automation: Instantly verify customer identities and documents. Loan Processing: Accelerate credit approvals by extracting and validating financial data. Invoice Management: Match invoices with transactions for real-time reconciliation. Regulatory Reporting: Automatically generate accurate, compliant audit records. Fraud Detection: Identify anomalies or tampered documents with AI-based checks. ✅ 90% reduction in manual effort AI-driven IDP is not just about automating paperwork — it’s about turning documents into insights. As financial data continues to expand, AI will be the invisible engine driving speed, compliance, and intelligence across every document workflow.  ( 6 min )

Frontend development is evolving faster than ever. If you’re building apps, dashboards, or SaaS platforms, choosing between React, Next.js, and Vue isn’t just about syntax. It’s about scalability, performance, and ecosystem support. So, which one actually wins in 2025? Let’s break it down. React in 2025: Still the Powerhouse React remains the foundation for modern frontend development with 80% of enterprise teams still using it directly or via Next.js. Why it still dominates: Massive community and library ecosystem Seamless TypeScript support Continues to evolve with React Server Components Excellent for building shared design systems But watch out for: Requires extra setup for routing, SSR, and SEO Can feel “barebones” without additional libraries Steeper learning curve for stat…  ( 7 min )

Introduction When we talk about reference counting, everyone remembers one pain point: cyclic references. a.link = b b.link = a del a del b # ...but the memory is still allocated Interpreters like CPython solve this with an additional “cycle collector” (cycle GC), but this is a different system, with graph traversal, unpredictable pauses, and additional overhead. The idea is simple: refcount of those it pointed to. The problem with classic reference counting is that the model assumes the following structure: class Object: def __init__(self, name): self.refcount = 1 self.ref = None self.name = name def link(self, ref): if self.ref != ref: self.ref = ref ref.refcount += 1 def rc_dec(self): self.refcount -= 1 …  ( 9 min )

Sean and Amanda are back, moving along in their yearlong countdown of the 21st century’s greatest films, landing at the mind-bending David Lynch classic Mulholland Drive. They gush over Naomi Watts’s breakthrough turn, dissect every conspiracy-fueled interpretation and marvel at how Lynch mash-ups Americana, dashes of European surrealism, old-Hollywood glam and off-kilter outsider art into one unforgettable trip. This episode, produced by Jack Sanders, also squeezes in a shout-out to State Farm’s Personal Price Plan and a friendly nudge to subscribe to The Ringer channels for more movie nerding. Watch on YouTube  ( 6 min )

Everything Wrong With Sinners In 15 Minutes Or Less takes one of the year’s most beloved genre films and gleefully rips it apart with snarky “sins,” Halloween vibes included. It’s a rapid-fire roast that proves you can lampoon even the greatest movies—just add cinematic nitpicks and a healthy dose of sarcasm. Along the way, CinemaSins shouts out its YouTube network (@TVSins, @CommercialSins, CinemaSins Podcast), social media hangouts (Discord, Reddit, TikTok, Instagram), a fan poll, Patreon support, and even Jeremy’s new book—because fans who love the jokes might as well join the sinfest. Watch on YouTube  ( 6 min )

Cinema Sins is back on the hunt with Predator: Killer of Killers, giving the animated entry their signature “Everything Wrong With…” roast in just 16 minutes. They gleefully tear into every trope and misstep, celebrating the Predator universe while pointing out all the little (and big) sins. Of course, it’s also a big promo—expect plugs for their website, Linktree, sinful poll, Patreon, and a shout-out to the dream team of writers. Plus, they drop links to Discord, Reddit, Instagram, TikTok and all their other channels to keep your sinning addiction fully fueled. Watch on YouTube  ( 6 min )

Predator 2 – Caravan of Garbage TL;DR Predator 2 dropped Arnie and the jungle for Danny Glover, a sweltering, crime-ridden L.A. and an even deadlier Predator—proving the sequel was inevitable after the first film’s huge success. It might lack some original charms, but if you’re cool with a new setting, gritty vibes and a side of Gary Busey, it’s a fun, fresh ride. Watch on YouTube  ( 6 min )

OpenAI is quietly making one of the biggest infrastructure moves in tech history. After ending its exclusive cloud partnership with Microsoft, the company is now placing massive, multi-year bets across three hyperscalers: $250B to Microsoft $300B to Oracle $38B to AWS Total: $588 billion dedicated purely to cloud and compute. This is the largest AI infrastructure investment ever made by a single company. And the most important part? This investment isn’t about future AI models. It’s required just to run the workloads of today’s ChatGPT. Sam Altman said it best: “Scaling frontier AI requires massive, reliable compute.” This isn’t a generic cloud contract. The AWS deal alone includes: Hundreds of thousands of NVIDIA GPUs Including the GB200 and GB300 families Access to tens of mi…  ( 9 min )

If you want clients to sign a contract and pay right away inside your WordPress workflow, this setup shows exactly how to achieve a seamless WordPress DocuSign Stripe integration. This guide outlines how a custom plugin connects DocuSign for e-signatures and Stripe for payments. When the client signs, they're instantly redirected to a secure checkout page – no manual steps, no chasing invoices. The integration is built around two core classes: Plugin_DocuSign_Contract – e-signature engine Plugin_Stripe_Processor – payment handler The structure follows the WordPress Plugin Boilerplate for clear separation between admin, public, and core logic, essential for robust WordPress DocuSign Stripe integration. my-wp-plugin/ ├── my-wp-plugin.php ├── includes/ │ ├── class-main.php │ ├── class-loa…  ( 11 min )

We are welcoming you to our weekly digest! Here, we discuss the latest trends and advancements in account abstraction, chain abstraction and everything related, as well as bring some insights from Etherspot’s kitchen. The latest news we'll cover: Ethereum Gas Fees Drift Toward 2 Cents as Usage Stays High EIP-7702 Infra X Space: Public Mempool, EOAs, and the Road to Ethereum Native AA Japan Meets AA with JPYC-Powered Gasless UX Can Fusaka Keep Users on L2 if Fees Drop Another 60%? Vitalik on Ethereum’s Possible Futures (VI): The Splurge Please fasten your belts! Coinglass reports that average Ethereum gas fees have recently fallen to around two cents per transaction while daily transaction counts hover near 1.6 million. The combination of cheaper blockspace and sustained activity suggests t…  ( 11 min )

Three weeks ago, on October 15th, I hit publish on Liquidcode v2. After months of pivoting (read about that journey), I finally had something I believed in. A platform where frontend developers compete 1v1, the community votes, and your rank actually means something. I announced it on Dev.to and then... I waited. You know that feeling when you ship something? Equal parts pride and panic? Pride because holy shit, I actually finished something. As developers, we start a million projects. We finish maybe three. This was one of the three. Panic because what if it's trash? What if nobody cares? What if I spent months building something the world doesn't want? The first two days were brutal. I kept opening the app, scrolling through it like a user would, then closing it. Refresh analytics. Check…  ( 8 min )

Why AI evaluation matters (and “vibes-based” QA fails) If you’re shipping LLM features, you’ve likely seen this: One prompt tweak fixes a niche case and silently breaks others. PMs ask, “Is this grounded?”, “Is it safe?”, “Why did JSON fail again?” Manual review is fine for demos, but it collapses at scale. AI evaluation turns fuzzy expectations into repeatable tests: Groundedness / context adherence: outputs should stick to provided sources. Structure validations: JSON schema and function calling stay correct. Safety & guardrails: content moderation, refusal checks, prompt-injection detection. Behavior & tone: measure helpfulness, politeness, and resolution quality. This tutorial uses the Future-AGI SDK to get you from zero to defensible, automated AI evaluation fast. Start here → https:…  ( 6 min )

Because sometimes, the real challenge isn’t writing the code, it’s finding the perfect balance between portability and productivity. As a software engineer, I split my workflow across two worlds: MacBook Pro → my portable dev machine, where all my codebases live. Windows desktop → my home lab powerhouse, complete with multiple screens and a ton of processing muscle. When I’m out, the Mac keeps me agile; I can code anywhere. speed boost and screen-estate to research, debug, and test faster. But there was a catch. The app I run on my Mac is only accessible at: http://localhost:3000 To test it from my Windows workstation (on the same Wi-Fi network), I expose it to my local network by binding it to the Mac’s LAN IP: http://192.168.x.x:3000 That way, I can open the app from any device connect…  ( 8 min )

If you want to design stunning websites and make your web pages look modern, elegant, and user-friendly, then CSS (Cascading Style Sheets) is your best friend. HTML gives structure to a webpage, but CSS brings it to life with colors, layouts, animations, and style. In this tutorial, you’ll learn CSS fast — from the basics to advanced tips — all in one place. What Is CSS and Why Is It Important? CSS stands for Cascading Style Sheets. It’s the language that controls how HTML elements are displayed on a web page. In simple terms, HTML is the skeleton, and CSS is the skin, makeup, and outfit that make it look beautiful. With CSS, you can: Change colors, fonts, and spacing Arrange elements in layouts (like grids or flexboxes) Add transitions, effects, and animations Make your website responsi…  ( 8 min )

Introducing TokiForge: A Framework-Agnostic Design Token Engine with Runtime Theme Switching The Problem The pain points: Different solutions for each framework Theme switching requires reloads or rebuilds Inconsistent token management across projects Time wasted on setup and configuration The Solution: TokiForge We built TokiForge - a framework-agnostic design token and theming engine that works with React, Vue, Svelte, Angular, and any JavaScript framework. One tool, multiple frameworks, zero friction. What Makes TokiForge Different? Unlike framework-specific solutions, TokiForge's core works everywhere: typescript import { ThemeRuntime } from '@tokiforge/core'; const runtime = new ThemeRuntime({ themes: [ { name: 'light', tokens: lightTokens }, { name: 'dark', tokens: darkTok…  ( 8 min )

It was never there. And if it had been, I’d have dissolved it on day one. I run what some would call a software company. On paper, it's a complete organization with: a developer, an architect, a product owner, a DevOps engineer, and even a quality manager. In practice, all of that is me. And I have a dog who barks at every deployment — probably my only truly engaged stakeholder. Everyone says you need an agile team to build anything serious — a Scrum Master, a Product Owner, a few meetings to prove you exist. I considered playing all those roles myself — Scrum Master on Mondays, PO on Tuesdays, Agile Coach on Wednesdays… Then I realized: none of these roles ship code. So I never hired them. And since then… everything just works. No meetings. No ceremonies. Just code, decisions, and a bi…  ( 11 min )

💬 Introduction En Angular, afficher les erreurs de validation dans un formulaire peut vite devenir répétitif et verbeux. C’est pour simplifier cette partie que j’ai développé une petite librairie : ng-input-validation, qui centralise et automatise l’affichage des messages d’erreur de manière élégante et réutilisable. Dans ce post, je te montre comment je faisais avant et comment je le fais aujourd’hui 👇 Avant, pour chaque champ de formulaire, il fallait écrire plusieurs conditions pour afficher les messages d’erreur : 👉 Résultat : beaucoup de code répétitif à maintenir, surtout quand on a plusieurs champs. ng-input-validation Avec ng-input-validation, tout est géré automatiquement à partir du FormControl. Et ton FormGroup : Là où avant il fallait écrire plusieurs @if, aujourd’hui une seule ligne suffit. Le composant affiche automatiquement le bon message d’erreur selon le type de validation (required, email, minLength, etc.). Tu peux aussi gérer les erreurs backend ou ajouter des messages personnalisés pour chaque type d’erreur. npm i ng-input-validation Et n’oublie pas de l’importer dans composant Angular. Cette librairie m’a permis de : Gagner du temps sur la gestion des formulaires ; Garder un code plus propre et maintenable ; Uniformiser les messages d’erreur dans toutes mes applications Angular. 👉 Le projet est open-source sur npm : https://www.npmjs.com/package/ng-input-validation  ( 6 min )

A post by rndthts.dev  ( 6 min )

I am studying for my AWS certifications. Everyone said: "Learn networking first." So I dove into the OSI model. The concept clicked when I stopped trying to memorize layers and started understanding what problem each layer solves. The OSI model is not something you memorize. It provides a framework for understanding how data moves from your laptop to AWS servers and back. Here is what I wish someone told me on day one. Before we dive in, let me explain why networking is not just theory. You cannot configure AWS VPCs without understanding Layer 3 (IP addresses). You cannot write Security Group rules without understanding Layer 4 (ports). You cannot troubleshoot connectivity without understanding all 7 layers. When you run this Python code: import boto3 ec2 = boto3.client('ec2') response = …  ( 13 min )

Fun fact, I thought I had already written this post, but when I wanted to reference it, I found out that I didn't. In this post, I'd like to describe my approach when choosing a dependency. I'll first define what I mean by dependency in the context of this post. Then, I'll list a grid of several criteria to analyze possible dependencies with. A dependency is literally something your software depends on: infrastructure such as a filesystem or a database, network, etc. In the context of this post, however, I'd like to narrow the scope to a software dependency that you need to compile/run, i.e., a library. Different software stacks have different names for this library: Ruby calls it a gem Rust calls it a crate Python and Node.js call it a package Go calls it a module Maven/Gradle call it…  ( 11 min )

While testing my NativePHP Android application, I noticed that the back button / action wasn't behaving the way I would expect for a regular "native" application. I realised that it was behaving like a browser with it's history stack. If I navigated into sub-menus using the UI then started using the back button / action it would just take me back through my history instead of up the menu tree like a regular app would, so I thought I'd look into how to fix that behaviour. After a quick Google search, the answer ended up being a simple, single line change. By adding the following to your MainActivity.kt file, we can instead emit an event in JavaScript which can then be reacted to. webView.evaluateJavascript("window.dispatchEvent(new Event(\'native:backpressed\'))", null) Caution: If you ta…  ( 7 min )

Prolog: Ketika Copy-Paste Bukan Solusi 📖 Cerita Pembuka: Si Pelupa dan 1000 Undangan Ada seorang mahasiswa bernama Andi yang ditugaskan panitia acara kampus untuk mengirim email undangan ke 1000 peserta seminar. Andi mulai mengetik: Kirim email ke peserta1@gmail.com Kirim email ke peserta2@gmail.com Kirim email ke peserta3@gmail.com ... (997 email lagi) Setelah 3 jam dan baru selesai 50 email, Andi menyadari: "Pasti ada cara lebih baik!" Ngeri, kan? 😱 Nah, di sinilah algoritma perulangan hadir sebagai penyelamat! Algoritma perulangan (looping) adalah struktur kontrol yang memungkinkan kita mengeksekusi blok kode berulang kali tanpa harus menulis ulang kode yang sama. Perulangan ada di mana-mana dalam kehidupan kita: Rutinitas Pagi 🌅 SELAMA belum_sampai_kampus: …  ( 19 min )

In the heart of India's thriving tech hubs like Odisha, developers are redefining the future one line of code at a time. As the nation emerges as a global AI powerhouse, AI trends in software development are reshaping how we build, deploy, and innovate. With investments pouring in and the AI market poised for explosive growth, understanding these top AI trends in software development isn't optional, it's essential for staying ahead. Whether you're crafting fintech solutions in Mumbai or healthcare apps in Chennai, this guide unpacks theAI trends in software development that promise to boost productivity by up to 40%, bridge skill gaps, and unlock new revenue streams. We'll dive into actionable insights, real-world applications tailored to India's diverse landscape, and tips to implement th…  ( 10 min )

WTF is this: Machine Learning Operations (MLOps) Edition Ah, Machine Learning Operations (MLOps) - the term that's been buzzing around the tech world, leaving many of us wondering, "What the heck is that?" Well, wonder no more, folks! Today, we're diving into the world of MLOps, and I promise, by the end of this post, you'll be an honorary expert (or at least, you'll sound like one at your next dinner party). In simple terms, Machine Learning Operations, or MLOps, is like the project manager of the machine learning (ML) world. It's a set of practices and tools that help manage and streamline the process of building, deploying, and maintaining machine learning models. Think of it like a factory assembly line, but instead of producing cars, you're producing super-smart, AI-powered models t…  ( 11 min )

Introduction: The dependency hell If you've ever worked with AWS CDK or CloudFormation, chances are high you've stumbled into a familiar problem: stack dependencies One stack exports an output-value, another one imports it, you make a small innocent change and suddenly Boom 💥 Your deployment suddenly does not work anymore. Yeah, I've been there too lately, it's one of those moments where you realise how easy it is for tightly coupled stacks to create hidden deployment traps, circular dependencies, deadlocks, and redeploy nightmares. In this post, I'll walk you through an example of how to refactor your CDK code to make it more loosely coupled, reducing cross stack references and giving you more flexibility in deploying and evolving your infrastructure safely. Imagine following architect…  ( 9 min )

The original article is hosted on my website here, so for my first article, I'll keep it short, with step-by-step explanation. You can check the sample repository, or here is the full Dockerfile: FROM amazoncorretto:25-alpine-full AS build WORKDIR /usr/src/project ENV JAVA_VERSION=25 ENV APP_NAME=app.jar ENV DEPS_FILE=deps.info COPY pom.xml mvnw ./ COPY .mvn/ .mvn/ RUN chmod +x mvnw RUN ./mvnw dependency:go-offline COPY src/ src/ RUN ./mvnw clean package -DskipTests RUN jar xf target/${APP_NAME} RUN jdeps \ --ignore-missing-deps \ -q --recursive \ --multi-release ${JAVA_VERSION} \ --print-module-deps \ --class-path 'BOOT-INF/lib/*' \ target/${APP_NAME} > ${DEPS_FILE} RUN jlink \ --add-modules $(cat ${DEPS_FILE}),jdk.crypto.ec \ --strip-java-debu…  ( 8 min )

TL;DR Letting an LLM write runtime code feels powerful until you run it every weekday at 9:00. Small per-step errors compound across long workflows. We shifted code generation out of runtime and into the planning phase using a typed DSL, validated components, and MCP. The LLM plans and composes; a deterministic engine executes. Result: lower failure rates, bounded costs, and behavior teams can trust. We started the common way: the model wrote code on the fly to call tools. After months of tuning, reality intruded: 20%+ end-to-end failure rate Missing await Type mismatches Edge cases that crashed workflows The math hurts: if each step is 95% accurate, a 10-step job succeeds about 0.95^10 ≈ 59.87%. That is not usable for customer-facing operations. We moved generation from runtime to the …  ( 8 min )

A complete reference guide to all inter-process communication mechanisms for systems programmers Inter-Process Communication (IPC) is a fundamental concept in systems programming that enables independent processes to exchange data and coordinate their actions. In the era of multi-core processors and distributed systems, understanding IPC is critical for creating efficient, scalable, and reliable applications. In this reference guide, we'll explore all core IPC mechanisms, including their implementation in C++, performance characteristics, pitfalls, best practices, and platform-specific considerations. IPC (Inter-Process Communication) is the mechanism for data exchange between processes in an operating system. Why is IPC necessary? Processes in modern operating systems are isolated from ea…  ( 13 min )

AI's Role in Revolutionizing Team Dynamics In today's fast-paced and interconnected world, forming the right team can make or break a venture. Whether you're an entrepreneur launching a startup or a manager assembling a project team, the stakes are high. With the integration of AI and machine learning into the process, team formation is becoming more strategic and effective than ever. Traditionally, building a team relied heavily on gut instinct, networking, and sometimes a bit of luck. While these methods are valid, they often lack the precision needed in today's competitive landscape. Enter AI and machine learning, technologies that are not only transforming how we form teams but also how they collaborate. 1. Data-Driven Insights: AI systems can analyze vast datasets to identify patter…  ( 7 min )

Let’s be honest: onboarding new clients manually sucks. A few months ago, at Gonzo Digital Marketing Australia, I decided to fix this the developer way — through automation. Here’s what I did 👇 🧩 Step 1: Defined the Workflow Every client went through the same 5 steps — proposal → approval → payment → kickoff → reporting. ⚙️ Step 2: Integrated Everything When a client signs a proposal → they automatically receive a welcome email When payment is confirmed → our internal Slack gets a “New Project Live” message When onboarding is complete → GDrive folder & reports are auto-created No code. No hassle. Just time saved. 💡 Step 3: Why This Matters This small automation turned into a major productivity boost — cutting admin time by 70% and improving client satisfaction. If you run a digital marketing agency in Australia or handle multiple clients, this approach will change your workflow forever. 🏁 Final Thoughts We at Gonzo Digital Marketing Agency always look for smarter ways to work — not harder. 💬 Question for you: What’s one task in your workflow you’d love to automate next?  ( 6 min )

Cost optimisation. It’s important in all walks of life, whether you are looking after your household bills or your cloud environment. When we look at Azure there are tools and mechanisms that can help you monitor your costs, from Azure Advisor to Cost Alerts. Within this blog post we’ll look at some of the resources with the Azure FinOps toolkit that can be deployed to help keep a monitor of your costs. The Azure FinOps toolkit is a set of resources that can help you manage your Azure Costs and FinOps journey. There are alerts, workbooks and PowerBI reports that can be deployed. It is an open-source project that is maintained and owned by Microsoft but the community over the years has also contributed to it. There are two resources within the toolkit that I would recommend you look …  ( 9 min )

TL;DR CinemaSins just roasted (and celebrated) one of this year’s best genre flicks in a speedy “Everything Wrong With Sinners In 15 Minutes Or Less” Halloween special—loading up on playful nitpicks while still admitting the movie totally rules. Want more sin-filled fun? Check out their website, socials, poll and Patreon to support the team, and say hi to the writers behind the laughs! Watch on YouTube  ( 6 min )

Everything Wrong With Predator: Killer of Killers in 16 Minutes or Less sees CinemaSins gleefully counting every plot hole, character quirk and franchise trope in the latest animated Predator outing. True to form, they roast the flick while celebrating the hunt, keeping the pace lightning-fast and the sin count merciless. Off-screen, CinemaSins plugs its ever-expanding network (@TVSins, @CommercialSins, CinemaSins Podcast), social hangouts (Discord, Reddit, Instagram, TikTok), a “sinful” fan poll, Patreon support and even Jeremy’s new book—proving no Predator goes unnoted (or unsinned). Watch on YouTube  ( 6 min )

Predator 2 takes the franchise out of the jungle and drops it into a sweltering, crime-ridden 1990s LA where Danny Glover squares off against an even deadlier Predator (plus a dash of Gary Busey chaos). It’s not Schwarzenegger swinging from vines, but if you’re up for neon-lit shoot-outs instead of machete slashes, it’s a surprisingly fun twist. This Caravan of Garbage review leans into the sequel’s quirks—heat waves, gritty cityscape and all—celebrating what makes Predator 2 its own kind of carnage-packed blast. Watch on YouTube  ( 6 min )

Learn How to manage Terraform Workspace and configure Multi-Environment Deployment. Welcome to the world of Cloud and Automation, Devs! Today, we’re going to explore one of the most powerful and widely used Infrastructure-as-Code (IaC) tools — Terraform. In this guide, we’ll learn how to use Terraform workspaces to manage multiple environments seamlessly — from Development to Staging and finally Production. By the end of this blog, you’ll not only understand how Terraform organizes infrastructure across environments but also see it in action through a hands-on demonstration — deploying a static website on Amazon S3 with three isolated environments. So, without further ado, let’s dive in and uncover how Terraform simplifies multi-environment deployments in the cloud. Before we jump into th…  ( 10 min )

Hey everyone 👋 I’m Shervin, the developer behind DigitalSecurity — an AI-powered cybersecurity app that helps people stay safe online 🛡️ Today I want to share 5 common mistakes that many people make when it comes to online security — and how to avoid them 🔒 It’s one of the biggest security risks! Always use strong, unique passwords for every website. 👉 Tip: use a password manager to keep them safe. Outdated software often has known vulnerabilities that hackers can exploit. Keep your system and apps updated regularly. Never click unknown links in emails, messages, or ads. Many phishing attacks start this way ⚠️ Free Wi-Fi networks are not safe! Avoid logging into important accounts while using them, or use a VPN instead. Even if you’re careful, threats can still happen. That’s why I built DigitalSecurity — an AI-based tool that detects and blocks online dangers in real time 🤖 👉 Check out the project here: https://github.com/shervinbaghervand33-del/DigitalSecurity Stay safe, stay smart, and protect your digital world 🌍 — Shervin  ( 6 min )

In the previous part of this series, we introduced the concept of message history and explored how agents in Pydantic AI can maintain conversational context across multiple interactions. In this part, we temporarily set aside message history and focus instead on a new concept in Pydantic AI: the Multi-Agent Pattern. This pattern allows us to design modular, cooperative AI systems that distribute responsibilities and work between agents to complete a task. The Multi-Agent Pattern is a design principle in which several agents cooperate to complete complex tasks. Each agent is responsible for a specific domain or capability, and together they form a distributed intelligence system. Pydantic AI supports several forms of multi-agent coordination, each designed for different control flow strateg…  ( 11 min )

(No, I am not gonna walk you through the labyrinth of self-validation and AI psychosis.) “Originally published on Medium — exploring AI mirroring and how we can leverage it.” Welcome Back, how have you been? How does it feel, now that you know you’re not as unique as you thought? That, even a machine can predict what you want to hear, and say that back to you? Do you feel “seen”, or “exposed”? Does your ego sting? “Mirror, Mirror on the screen, who is the fairest of them all?” I. Why Mirror: “theory of minds” with an eerie precision. We know, it lacks emotions, judgements, sense of right or wrong. We talk about how a machine can follow ethics, and uphold right from wrong. Yet, somehow, we believe, it can make us question our own perceptions. It makes us realize, all these are nothing …  ( 12 min )

When a system goes down, there are no headlines, no trending posts, and no public acknowledgment of the pressure inside the team. But anyone who has experienced a major production incident knows how intense a tech war room feels. There is no noise from the outside world. Just screens, dashboards, log traces, and people working under shared urgency: get the system back up. When production fails, every minute matters. The room fills (physically or virtually) with a defined set of roles: Engineers digging through logs and debugging failure chains Architects mapping dependencies and identifying root causes Product managers coordinating communication and expectations Support teams working to reduce user frustration Leadership holding the center and maintaining clarity There is no hero sp…  ( 7 min )

Introduction As modern enterprises grow, so does the demand for real-time, high-quality voice communication. In this post, we’ll explore five proven strategies developers use to scale FreeSWITCH systems for performance, stability, and future growth. Instead of depending on a single large server, distribute your FreeSWITCH instances across multiple nodes. Tip: Implement health checks so the load balancer can dynamically reroute SIP traffic if a node goes down. Running FreeSWITCH on Docker or Kubernetes enables predictable scaling, simpler management, and faster deployment cycles. Kubernetes’ auto-scaling and self-healing capabilities are particularly effective for VoIP workloads. Media processing (RTP) is one of the most resource-intensive aspects of FreeSWITCH. Consider deploying dedicated media relays for handling conference calls and IVRs. As you scale horizontally, managing configs across multiple FreeSWITCH nodes becomes complex. Scalability isn’t just about adding servers — it’s about understanding performance trends. 🔍 Test call concurrency and media performance before production deployment. Scaling FreeSWITCH isn’t a one-time setup — it’s a continuous optimization process involving load balancing, automation, monitoring, and modularization. building a call center platform or a global communication solution, following these principles ensures your VoIP system remains stable, efficient, and ready for growth.  ( 7 min )

This is a first-person, hands-on writeup of how I experienced using Copilot coding agents today. I include examples, a gotcha I hit while using it, and a short checklist so you can try it in your repos. I started experimenting with Copilot coding agents because I wanted to scaffold a lot of things which IDE-based agents do not, and to see what an assistant could do for me (refactoring scaffolding, creating test harnesses, running quick migrations) and actually execute code in a prepared environment instead of just suggesting edits. Over the last few months I tested agents on various projects and refined a small set of rules that helped me experience the current possibilities of delegating tasks to an agent. Unlike traditional IDE-based agents, Copilot coding agents can perform a broader ra…  ( 10 min )

Water underpins $58 Trillion in economic value (WWF, 2021) yet attracts less than 1% of climate-tech investment (Geschwind, 2023)1. This mismatch is becoming untenable as climate change and population pressures intensify, turning water into a material supply chain risk. Drought-driven shipping limits at the Panama Canal and production halts in Taiwan and Arizona show that water is no longer peripheral, it is a core driver of long-term value and a rising ESG priority. Climate Change: Amplifying Water Stress Hotter global temperatures are: For investors, climate volatility compounds water scarcity, directly impacting agriculture, energy and urban infrastructure. Why Water Risk Matters for Investors AI’s Hidden Water Footprint Aral Sea: The Ripple Effects of Water Risk Social & Economic Conse…  ( 10 min )

A recent case involving a client’s WordPress website has brought attention to the growing issue of plugin compatibility and excessive add-on usage, according to web developer Asaaju Peter of Phemight Technologies. The client reported that the website no longer loaded properly and instead displayed multiple fatal errors across various pages. Upon investigation, it was discovered that the website had been built using Elementor and several Elementor-related add-ons installed in 2023. Meanwhile, the website had automatic updates enabled, which caused Elementor to update to the latest version while the outdated add-ons remained incompatible. This conflict led to the website’s functionality breaking entirely. According to Asaaju Peter, this situation is common among WordPress users who rely heavily on multiple third-party add-ons and do not perform version compatibility checks before updating. He emphasized that maintaining a WordPress website is not just about installation but also about ensuring stability, performance, and cautious management of plugin updates. He advised users to avoid unnecessary add-ons and disable auto-updates unless compatibility is confirmed. Phemight Technologies continues to offer website maintenance, troubleshooting, and optimization services to help businesses maintain reliable and secure online platforms.  ( 6 min )

1. Add modue of SFTP After adding module of SFTP, you'll see below maven dependency added in pom org.mule.connectors mule-sftp-connector 2.5.1 mule-plugin   2. Setup local sftp server by docker This section is omitted; please refer to the following article for details: install sftp server   3. Config sftp in yaml file yaml sftp: host: "127.0.0.1" port: "2222" username: "sftpuser" password: "123456" remotePath: "~/sftp"   4. Add SFTP in global element config properties Here's xml code of it:   5. Drag and drop an SFTP write processor and config it Here's xml code of it:   6. Use Bruno & FileZilla to verify the program Bruno FileZilla After requesting successfully in bruno, you'll see below result in FileZilla: Download the file from FileZilla, and the content of the file should be like this: { "ftpHost": "127.0.0.1", "ftpPort": 2222, "username": "sftpuser", "password": "sftppass", "remotePath": "/uploads", "fileName": "local-test.txt", "fileContent": "SGVsbG8gTG9jYWxTdG9yZSE=" }  ( 6 min )

Buy Me a Coffee☕ *Memo: My post explains a range (1). My post explains a range (2). My post explains a range (3). A range can be read by slicing as shown below: *Memo: Slicing can be done with one or more [start:end:step] in the range [start, end): start(Optional-Default:None-Type:int/NoneType): It's a start index(inclusive). If it's None, it's the 1st index. Don't use start=. end(Optional-Default:None-Type:int/NoneType): It's an end index(exclusive). If it's None, it's the range length. Don't use end=. step(Optional-Default:None-Type:int/NoneType): It's the interval of indices. If it's None, it's 1. It cannot be zero. Don't use end=. The [] with at least one : is slicing. start and end can be signed indices(zero and positive and negative indices). Error doesn't occur even if [sta…  ( 8 min )

I'll create a polished Halloween landing page for a fictional "SpookyFest" event with modern front-end techniques. Here's the complete solution:  ( 5 min )

Introduction: The Battle Against Credit Card Fraud Imagine this scenario: You're having a normal day when suddenly your phone buzzes. It's your bank asking if you just made a $1,500 purchase in another country. Your heart sinks. You check your wallet—your credit card is still there. Someone has stolen your card information and is trying to spend your money. This happens to millions every year, but thanks to modern credit card fraud detection systems, most attempts are stopped before any money is lost. Credit card fraud detection has evolved from manual reviews to advanced artificial intelligence systems that spot suspicious activity in milliseconds. In this guide, we'll explore how these systems work, why they're essential, and how companies like Labellerr AI are helping create smarter, …  ( 9 min )

Why Use rem Instead of px for Padding? /* Before */ padding: 24px 74px; /* After */ padding: 1.5rem 4.625rem; But this is one of those small shifts that has a big impact in modern CSS, especially when building scalable and accessible interfaces. rem Responds to User Accessibility Settings The rem unit is relative to the root font size (typically the browser default of 16px). px values do not scale → the layout becomes cramped and harder to read. rem values do scale → spacing and layout grow proportionally. This means a UI built with rem is more accessible and readable for all users. em? em values are relative to the element’s own font-size, which can lead to padding and spacing changing unexpectedly when typography changes. rem keeps spacing consistent, even if a component’s font size is adjusted. Feature rem (Recommended) em Relative to root font-size (html) ✅ Yes ❌ No Padding stays consistent when element font-size changes ✅ Yes ❌ No Ideal for layout spacing (padding, margin, gap) ✅ Yes ❌ No Works well in design systems & token scales ✅ Yes ❌ No Best for sizing elements relative to their own text ❌ No ✅ Yes Common use Global spacing & layout Inline elements that scale with text Switching from px to rem makes your UI: More readable More accessible More visually consistent Easier to maintain Better prepared for responsive layouts If you're building a modern design system or want your UI to scale gracefully across devices and accessibility settings, use rem for padding and layout spacing.  ( 6 min )

Halo semuanya. Aku dari Indonesia dan mau share tools konfigurasi Vim yang aku buat. Namanya VimConfig, ini bikin setup Vim jadi lebih gampang dan cepat, terutama kalau sering reinstall atau ganti device. Aku males setup Vim dari nol terus, apalagi kalau reinstall sistem. Jadi aku bikin tools ini buat otomatis setup semuanya. Develop-nya di Termux pake proot-distro, jadi mungkin ada case yang belum kepikiran buat sistem lain. vcfg tool - CLI tool buat manage plugin dan konfigurasi Modular - Konfigurasi per bahasa terpisah Auto backup - Config lama kamu otomatis di-backup ke ~/.config/vim.backup.{date} Multi-bahasa - Support JS/TS, Python, C/C++, Go, PHP, Bash Termux-friendly - Optimized buat mobile development curl -fsSL https://raw.githubusercontent.com/aidomx/vimconfig/main/install.sh …  ( 7 min )

1 jeecgboot官网以及开发手册 2 前端Vue2启动 3.1 启动过程 3.2 sql数据库安装 3.2.1 安装MYSQL5.7.20版本 3.2.2 安装MYSQL8.0.32版本 3.2.3 在cmd中修改root密码（针对mysql-8.0.32-winx64版本） 3.3 redis安装 3.3.1 安装教程 3.3.2 redis是什么 4.1 先检查数据库是否在线 4.1.1 问题描述 4.1.2 卸载并重装mysql-8.0.32-winx64版本 4.1.3 mysql-8.0.32-winx64卸载教程 4.2 再启动redis：【在cmd中输入： redis-server； 】 4.3 然后检查并更新前后端代码配置，并启动前后端代码； 4.4 登录系统； Table of contents generated with markdown-toc [tod] 1 jeecgboot官网以及开发手册   jeecgboot官网：JEECG官方网站 - 基于BPM的低代码开发平台 jeecgboot开发文档：Maven私服设置 · JeecgBoot 开发文档 · 看云 ant-design-vue官网：Ant Design of Vue - Ant Design Vue (antdv.com) ant-design-vue开发文档：简介 | Vue.js (vuejs.org) 语言学习：菜鸟教程 - 学的不仅是技术，更是梦想！ (runoob.com)   之前从jeecgboot官网Git下来了前后端，应该参照ERP项目进行了部分改动。详见GitLab如下： JeecgBootFrontVue2：https://gitlab.com/JackChen-Strong/jeecgbootfrontvue2 JeecgBootBack：http…  ( 7 min )

I got locked out of the GST portal for the third time because my password "didn't meet requirements." No explanation. Just "Invalid password." Speed. I wanted the tool to be: Fast to load (< 50KB total) Fast to build (2 weekends) Fast to run (real-time password checking) Adding React would add 130KB+ before I wrote a single line of code. For a single-page tool, that's overkill. The Tech Stack Frontend: Vanilla JavaScript + Tailwind CSS Styling: Tailwind CDN (for rapid prototyping) API: Have I Been Pwned (k-Anonymity model) Hosting: Vercel Source Control: GitHub Total bundle size: ~48KB (including Tailwind) const portalRequirements = { uidai: { minLength: 8, requiresUppercase: true, requiresLowercase: true, requiresNumber: true, requiresSpecial: true, }, gstn: { …  ( 10 min )

The core value of AI search tools is that they are fundamentally changing how we interact with information. Traditional search engines provide an "index," requiring users to click links, read, filter, and synthesize answers for themselves. AI search, however, attempts to bypass these intermediate steps by directly understanding complex user intent, integrating web information, and generating a relatively complete, ready-to-use "answer." This "answer-driven" experience is iterating rapidly, and many excellent products with different approaches have emerged. Each has its own focus and is suited for different needs. Perplexity AI: The Rigorous Answer Engine Perplexity AI is perhaps the product that best represents the "answer engine" model today. Its interface is extremely minimalist, center…  ( 9 min )

目录 1 仓库类型：gitlab 2 新建项目并推送到新的gitlab远程仓库中 3 从gitcode开源仓库（如jeecgboot）到gitlab官网上的私人仓库：直接用url 4 切换本地项目的远程仓库，并将本地项目push到新的Gitlab仓库中（即Gitlab仓库迁移） 4.1 场景举例 4.2 几种不同方法 4.2.1 方法一：在git bash here中进行命令行操作 4.2.2 方法二：在IDEA中操作 4.2.3 方法三：使用TortoiseGit 4.3 遇见的问题 4.3.1 问题描述 4.3.2 解决措施 5 对Git的个人理解 5.1 Git、小乌龟TortoiseGit的安装和中英文切换教程： 5.2 个人理解 6 可参考的Git学习资料 7 Git发版实操 7.1 发版方式分类 教程：Git 技能：如何把本地新项目推到远程空仓库_哔哩哔哩_bilibili 对jeecgboot开源项目进行本地改造后，推送至自己的Gitlab官网上的私人仓库。 ①教程：41-工具类_哔哩哔哩_bilibili ①教程：【Git教程】5-7 Git推送已有仓库到Gitee_哔哩哔哩_bilibili 采取上述方法后，在将代码push之前进行pull的时候，报如下错误：You are not currently on a branch.Please specify which branch you want to merge with.See git-pull(1) for details. 【特别注意：我的Gitlab官网上的私有仓库不是公开的，所以在push代码前最好是将Gitlab相应仓库设置为Public】 ①参考链接：Git常见问题解决办法 - 爱码网 ②解决步骤： ​ S1：打开问题项目的Git Bash here； ​ S2：输入： git checkout -b temp # 在工作区中创建并切换至temp分支； ​ S3：输入：git checkout # 切换回目标分支，我的是：git checkout main； Git、小乌龟TortoiseGit的安装和中英文切换tortoisegit切换语言公孙元二的博客-CSDN博客 Git（Git管理最全面的工具）： Git Bash here（Git的命令行界面，可以实现Git的全部操作） 上传本地文件（夹）到GitHub和更新仓库文件 - 知乎 git从安装到多账户操作一套搞定（一）入门使用 git从安装到多账户操作一套搞定（二）多账户使用 方式一：增量。示例：在gitlab上将commit从【代发版分支】（如dev）merge合并到【生产分支】（如prd），然后在【生产分支】上对commit发版，并merge commit。注：该示例中无需使用IDE。 方式二：全量。示例：将本地【代发版分支】（如dev）中的代码（最新）全量merge到本地【生产分支】（如prd），再将本地【生产分支】push到远端【生产分支】，从而全量发版。参考教程：(54条消息) vs Code合并分支vscode合并分支点点辰光的博客-CSDN博客  ( 6 min )

TL;DR: When I first faced a system design interview for a senior engineering role, the prompt was deceptively simple: Design a video conferencing system like Zoom. I thought, “How hard can it be?” Fast forward 3 hours of intense whiteboarding, network diagrams, and trade-off debates later — I realized designing a scalable, real-time, low-latency video platform is a beast. But through that struggle, I learned critical lessons that shaped my system design thinking. In this post, I’ll walk you through my experience designing a Zoom-like system, breaking down my approach, technical tradeoffs, and real-world strategies. Whether you're prepping for interviews or building collaboration tools, these 7 lessons will help you build robust, scalable video conferencing systems. At the start, I made the…  ( 9 min )

Removing backgrounds from a single image is easy. But removing backgrounds from hundreds or thousands of images in one go — and getting clean, consistent results — is a different challenge. That’s where AI batch background removal tools shine. Behind their speed and accuracy sits a powerful combo: cloud computing and GPU acceleration. Together, they turn heavy image processing tasks into smooth, scalable pipelines. This article breaks down how cloud and GPU acceleration optimise throughput and deliver fast, reliable background removal at scale — without drowning in compute bottlenecks. Throughput refers to how many images a system can process per second — a critical metric for performance. When you're processing: E-commerce product photos Model catalogs Bulk portrait shots Marketing asset …  ( 9 min )

Everything Wrong With Sinners In 15 Minutes Or Less CinemaSins is back to poke fun at what they call one of the greatest genre movies of the year, “Sinners,” in their signature rapid-fire sinning style—just in time for Halloween. Expect witty commentary and plenty of tongue-in-cheek nitpicking, even though they admit this flick rules. Aside from the video itself, they’re hyping up their whole Cinemasins universe: hit up their website, YouTube channels, Discord, Reddit, TikTok, Instagram, and more. You can weigh in via a sinful poll or support the team on Patreon, and don’t forget to follow the writers on Twitter and Instagram for behind-the-scenes fun. Watch on YouTube  ( 6 min )

TL;DR CinemaSins dives head-first into the Predator universe with “Everything Wrong With Predator: Killer of Killers In 16 Minutes Or Less,” playfully roasting the new animated flick in their signature sinning style. Expect witty quips, nitpicks and an all-around fun takedown of this Predator installment. They also shout out their other channels (TVSins, Commercial Sins, CinemaSins Podcast), plug a fan poll, Patreon support and all the socials—Discord, Reddit, Instagram, TikTok—and give props to their writers and Jeremy’s new book. Watch on YouTube  ( 6 min )

Predator 2 – Caravan of Garbage TL;DR Predator 2 ditches the jungle and Schwarzenegger for Danny Glover in a crime-ridden, heat-soaked 1990s L.A. where an even deadlier Predator is on the prowl. It’s not the same formula as the first movie, but with Gary Busey in the mix, it’s a fun, goofy ride if you’re up for a fresh twist. This “Caravan of Garbage” review dives into the sequel’s biggest swings and misses, then sends you off to BigSandwich.co for early videos, bonus podcasts, game streams, and all the hosts’ social links, merch drops, and Patreon perks. Watch on YouTube  ( 6 min )

For as long as we’ve been building with machines, we’ve followed one core rule: faster is better. Lower latency, higher throughput, less waiting; that was gospel. Nobody wanted to wait 600ms for a button to respond or watch a spinner that lasts longer than their attention span. If it was slow, it was broken. Case closed. So naturally, when AI tools started creeping into our dev workflows, autocomplete, agents, copilots, you name it, the same principle applied. Make it fast. Make it feel instant. Make it look like magic. But here’s the thing: AI isn’t magic. It’s inference. It’s pipelines and RAG and context and tool calls. It’s juggling messy context and probabilistic guesses. And if you want something smarter than glorified autocomplete, you need to build a pipeline of processes to provid…  ( 15 min )

PROJECT OVERVIEW This project demonstrates how to host a static website on Amazon S3, deliver it globally with CloudFront CDN, and automate deployments using GitHub Actions. ✅ Static website hosting on Amazon S3 ✅ CloudFront CDN for global fast delivery + HTTPS ✅ CI/CD pipeline with GitHub Actions (auto-deploy on push) ✅ Cache invalidation so updates are live instantly ✅ Secure Origin Access Control (OAC) → S3 is private, only CloudFront can access 🏗️ Architecture Workflow 🔹 Request Flow User → CloudFront (Edge Cache) → [If cache miss] → S3 Bucket → CloudFront → User Developer → GitHub Repo → GitHub Actions → S3 Bucket → CloudFront → End User Go to AWS S3 Console Create a bucket (region example: ap-south-1) Keep Block Public Access = ON Upload your static website files (index.html, CSS, JS, images, etc.) Open CloudFront Console → Create Distribution Origin = your S3 bucket Use Origin Access Control (OAC) (so only CloudFront can read from S3) Copy the CloudFront domain (e.g., d1234abcd.cloudfront.net) Go to GitHub Repo → Settings → Secrets and variables → Actions → New repository secret Add: AWS_ACCESS_KEY_ID AWS_SECRET_ACCESS_KEY 🌍 Access Your Website Default → (your CloudFront domain) Optional → Add Route 53 + ACM SSL to use a custom domain Add CloudWatch monitoring & logging Add Route 53 + SSL certificate for a custom domain Extend pipeline with tests before deployment By completing this project, I learned: How to use AWS S3 for static hosting How CloudFront works as a CDN with OAC How to build a CI/CD pipeline with GitHub Actions How to automate deployments and cache invalidations 🔗 Keywords: AWS, S3, CloudFront, GitHub Actions, CI/CD, DevOps, Cloud Github ⚡ Now, every time I push code to GitHub, my website auto-deploys to AWS with CloudFront CDN 🚀  ( 7 min )

The Value-Centric Philosophy of Rust Ever typed let a = 8; let a = 9; in Rust and wondered why it didn’t feel like “reassignment”? That moment reveals a core philosophy: **values are central, and variables are mere handles.** 1. Why Rust Feels Different Most programming languages—C, Java, Python—treat variables as containers. They store values, which you can freely replace: int a = 8; a = 9; // Replace content; 'a' persists Rust flips this view: Values exist independently. Variables are handles, not storage boxes. Operations are about who can access the value, not changing the variable itself. Key takeaway: Values are central; variables are temporary handles. 2. Values at the Center let a = 8; let a = 9; // Shadowing: new 'a' handles 9; old value 8 persists until scope ends Va…  ( 7 min )

Most IT leaders already understand that AI can make operations smarter. The challenge isn't the technology — it's the conversation. Convincing leadership to fund AI-driven IT means moving past buzzwords and showing clear, measurable business outcomes. 1 Shift the Conversation: From Cost to Capability Executives don't invest in savings — they invest in capability. AI-driven IT is not an add-on. It's a force multiplier that transforms what your IT function can deliver: Predictive resolution instead of reactive firefighting Enterprises using predictive AI in ITSM report 45% faster resolution times and 50% fewer escalations. Every hour saved in downtime protects both productivity and revenue flow. When you stop framing AI as a tool and start presenting it as a capability, leadership sees it fo…  ( 9 min )

Executive Summary AI email assistants are increasingly vulnerable to prompt injection—a subtle but potent attack vector where adversaries embed hidden instructions inside routine-looking emails. These manipulations bypass traditional security controls, leaving no trace in system logs. The result: unauthorized actions, silent data exfiltration, and compromised operational integrity. This whitepaper outlines a forensic-first defense framework, emphasizing timestamped logging, input isolation, and post-incident reconstruction. It closes with a tactical self-assessment checklist to evaluate system exposure. Prompt injection is the act of embedding adversarial instructions into content that an AI assistant will read and interpret. In the context of email, this often takes the form of: Hidden …  ( 9 min )

TL;DR The EU’s new Cyber Resilience Act (CRA) will change how WordPress agencies, plugin developers, and care-plan providers handle security, compliance, and updates. Here’s what it means for you, and what you need to do before 2027. You don’t need to know the full text of the EU’s Cyber Resilience Act to feel its presence. If you build or maintain WordPress software (with a commercial intent) and it’s used in the EU, this law most likely applies to you. The CRA expects you to know what dependencies your code includes. You’re expected to have a process in place when someone reports a vulnerability. You’re expected to separate security updates from everything else. And yes, if something gets exploited, you have a deadline for reporting it, just like every other digital product vendor in …  ( 13 min )

Over the past few weeks, I’ve been exploring a range of AI tools, testing them in real projects and integrating them into my daily workflow. My goal was simple: to see how far AI can truly go in helping developers build real, production-ready products. During this time, I used several of these tools to ship client projects, including a full web MVP built in just 30 days and an Android mobile app. Since I already had the UI designs, my main focus was turning them into fast, pixel-perfect frontends and integrating a solid backend behind them. Throughout that process, I tried dozens of AI tools for both frontend and backend tasks. In a space where every major company is experimenting with AI, I wanted to dig deeper and test tools that don’t just generate code but also understand design. In th…  ( 25 min )

Overview Singleton, is a one of most popular design pattern. The main purpose is to saving memory by reuse and sharing one instance rather than create a new one. It sounds like a great concept, but it could be a "Boomerang" if we implement that concept in the wrong case. Helo, i am Satria. Currently i'm working on Tech Company as a Software Engineer. In this article i will share about my experience in implementing Singleton Design Pattern in the wrong case. So, let's go. The Incident is started when i created an application to manage the budgeting system in our company. It is using PostgreSQL as a Database Management System. The application that i built is a part of Company's Super App. When I looked at the code in the Super App, i notice that everytime when we need to query to database…  ( 7 min )

Introduction Codeck is a portable, student-focused Linux workstation developed using the Raspberry Pi 5. It was designed to solve a common challenge in modern education — the lack of affordable and flexible computing tools for practical learning. Many students rely on laptops that are often costly and not lab-friendly, while microcontrollers like Arduino are too limited for multitasking or software development. Codeck bridges this gap by providing a compact yet powerful system capable of coding, research, hardware interfacing, and document creation — all in one portable device. Hardware Overview The heart of Codeck is the Raspberry Pi 5 (8GB), offering improved speed, graphics, and hardware control. It is paired with a 7-inch Waveshare HDMI display for clear visuals and a Frony Bluetooth m…  ( 9 min )

Hello Dev.to! I'm excited to announce the Alpha release of Selur, a project that fundamentally re-examines the relationship between HTML, CSS, and JavaScript. Selur is a Pure CSS UI Declaration Engine. It doesn't only give you components; but also the missing architectural layer that puts visual logic and stateful UI behavior back into CSS, where it always belonged. The original web contract was simple: But today, we often see JavaScript handling presentation (UI frameworks rendering DOM elements), CSS getting polluted with utility classes that mimic structural concerns, and HTML becoming generic, non-semantic containers. Selur re-establishes this contract by moving all UI interactivity and visual state management back to pure CSS, where it truly belongs. Selur isn't a component library; i…  ( 8 min )

Introduction Modern data engineering projects typically use Python for orchestration (Airflow DAGs), data transformation, and DBT or SQL for data ingestion. At scale, however, deployment becomes a significant bottleneck. My data engineering team manages ingestion for a data warehouse containing nearly 10,000 tables. We follow a standardized approach where each table requires at least 5 programs covering the standard pipeline: file ingestion → staging → transformation → ODS layer. This results in over 50,000 program files requiring deployment. Our Azure DevOps CI/CD pipeline was taking nearly 30 minutes per deployment — unacceptable for any development workflow. Having previously managed deployment pipelines for Java microservices with comprehensive test suites, this was excessive for our…  ( 9 min )

Building a LangGraph Multi-Agent System in 20 Minutes Overview In this post, we'll explore how to build a working multi-agent system with dynamic configuration using LangGraph multi-agent workflows, RAG search, and LaunchDarkly AI Configs. This is the first part of our series on "Chaos to Clarity: Defensible AI Systems That Deliver on Your Goals". A multi-agent system (MAS) is a computational paradigm where multiple agents interact with each other to achieve a common goal. In this context, an agent is an autonomous entity that perceives its environment and takes actions to affect it. LangGraph is a lightweight, open-source framework for building multi-agent systems. It provides a simple and intuitive API for defining workflows, which are the core of any MAS. A workflow in Lang…  ( 8 min )

Introduction Most resume builders haven’t evolved in a decade. At Skillinnovex Our mission was simple — Build the world’s first unlimited AI resume builder, 100% free, privacy-first, and powered by real innovation. The Problem with Traditional Resume Builders Let’s face it — most “free” resume platforms aren’t really free. They often: Force you to sign up before creating anything Limit your downloads or templates Store your personal data Charge for “premium access” just to export a PDF This system punishes creativity and slows down people who just want to build a resume that works. ⚡ The Skillinnovex Solution At Skillinnovex, we flipped the model. We built a resume generator that’s: ✅ Completely free — no hidden costs 🔄 Unlimited downloads — build as many resumes as you want 🧠 AI-assiste…  ( 7 min )

In the fast-paced world of artificial intelligence, building and maintaining an AI stack is no easy task. Decisions being made today affect the ability to innovate, scale, and provide trustworthy AI-based products directly. We are like any competent workman and rely on reliable tools. This paper focuses on the AI stack used in production that includes data ingestion to model deployment among others. It is necessary to understand the philosophy that guides our choices before moving into the complexity of particular tools. When considering and putting into the stack a new technology, we see several principles: User Experience in the Development Process: We believe that the best things to build on are the ones that our developers enthusiastically use. When a developer experience is positive, …  ( 9 min )

Apple Health MCP Server: Use Cases for Developers Apple Health stores years of health data from workouts, sleep tracking, heart rate measurements, and step counts. While this data is valuable for building personalized health applications, accessing it has always been challenging. Apple Health exports come as complex XML files that require significant parsing effort to use effectively. The Apple Health MCP Server is an open-source tool that implements the Model Context Protocol, providing a clean interface for accessing Apple Health data. It takes Apple Health XML exports, indexes them in DuckDB for fast querying, and exposes the data through tools that AI agents can use naturally. The server also supports Elasticsearch integration for advanced search capabilities. The server handles XML …  ( 8 min )

In the past few decades, customer service has evolved beyond the traditional phone calls and emails. Enter chatbots and conversational AI, two innovations that are quickly reshaping how businesses communicate with their customers. From answering simple queries to handling complex customer concerns, these tools are becoming indispensable in customer service development. But how did we get here? And more importantly, how are these technologies making a real difference in businesses’ ability to engage with customers? Let’s dive into the rise of chatbots and conversational AI, exploring how these tools are revolutionizing customer service, improving experiences, and even building brand loyalty. Chatbots are not a brand new concept. In fact, their roots trace back to the 1960s, when a program c…  ( 9 min )

Sean Fennessey and Amanda Dobbins dive back into their 25 Best Movies of the 21st Century countdown to spotlight David Lynch’s ‘Mulholland Drive’ at No. 6. They celebrate Naomi Watts’s breakout turn, unpack all the wild conspiracy theories and fan interpretations, and marvel at Lynch’s uncanny blend of dreamy Americana, European surrealism, classic Hollywood glitz and edgy outsider art. Whether you’re obsessed with your own theory or just along for the trippy ride, this chat proves why ‘Mulholland Drive’ remains one of the most mind-bending, glamorous and endlessly fascinating films of our time. Watch on YouTube  ( 6 min )

TL;DR CinemaSins just dropped “Everything Wrong With Sinners In 15 Minutes Or Less,” their Halloween sin-fest on what they call one of the year’s—and genre cinema’s—finest films. Expect the usual snarky countdown of “sins” sprinkled with cheeky commentary. They’ve also hooked you up with all their socials (website, YouTube channels, Twitter, Instagram, TikTok), a sinful poll, Discord and Reddit communities, plus a Patreon pitch to keep the lights on for more cinematic roasts. Watch on YouTube  ( 6 min )

Everything Wrong With Predator: Killer of Killers In 16 Minutes Or Less CinemaSins just unleashed a rapid-fire, 16-minute sin count on the animated Predator flick Killer of Killers, poking fun at every plot hole, design quirk, and questionable decision in the Predator universe. They’ve also dropped a link tree full of goodies—YouTube channels (TVSins, CommercialSins, CinemaSins Podcast), social media handles, a poll to get your feedback, and a Patreon pitch—plus a full roll call of their writers (Jeremy, Chris, Aaron, Jonathan, Deneé, Ian, Daniel) so you can stalk them on Twitter and Insta. Watch on YouTube  ( 6 min )

When your SQL queries start slowing down, one of the first solutions that comes to mind is adding an index. But while indexes can dramatically speed up data scans and searches, they can also slow down data mutations like INSERT, UPDATE, and DELETE. In this article, we’ll break down how indexes work, why they matter, and when you should (or shouldn’t) use them — all with practical SQL examples. An index in a database is similar to an index in a book — it helps you find specific information faster. Instead of scanning the entire table row by row, the database engine uses the index to jump directly to the relevant data. Indexes are typically implemented using B-trees, which allow the database to quickly scan and retrieve the desired rows with logarithmic complexity instead of linear. When y…  ( 7 min )

Originally published at https://www.nocobase.com/en/blog/weekly-updates-20251106 Summarize the weekly product update logs, and the latest releases can be checked on our blog. NocoBase is currently updated with three branches: main , next and develop. main：The most stable version to date, recommended for installation; next：Beta version, contains upcoming new features and has been preliminarily tested. There might be some known or unknown issues. It's mainly for test users to collect feedback and optimize functions further. Ideal for test users who want to experience new features early and give feedback; develop：Alpha version, contains the latest feature code, may be incomplete or unstable, mainly for internal dev and rapid iteration. Suited for tech users interested in product's cutting-ed…  ( 11 min )

Originally published at https://www.nocobase.com/en/blog/weekly-updates-20251106 Summarize the weekly product update logs, and the latest releases can be checked on our blog. NocoBase is currently updated with three branches: main , next and develop. main：The most stable version to date, recommended for installation; next：Beta version, contains upcoming new features and has been preliminarily tested. There might be some known or unknown issues. It's mainly for test users to collect feedback and optimize functions further. Ideal for test users who want to experience new features early and give feedback; develop：Alpha version, contains the latest feature code, may be incomplete or unstable, mainly for internal dev and rapid iteration. Suited for tech users interested in product's cutting-ed…  ( 11 min )

Most backend frameworks today are built on foundations from a different era. Express sits on Node.js HTTP. NestJS sits on Express. Each layer adds abstraction, dependencies, and constraints. What if we started fresh? YasuiJS is a new TypeScript framework for building REST APIs, built on Web Standards from day one. No Express underneath. No Node.js HTTP layer. Just the Fetch API, Web Standards Request/Response, and a lightweight server adapter (srvx) that works across runtimes. The result? A framework that runs anywhere—Node.js, Deno, Bun, Cloudflare Workers, Vercel Edge—with the elegant decorator-driven DX you'd expect from modern frameworks, but without the bloat. Here's what it looks like: @Controller('/api/users') export class UserController { constructor(private userService: UserServ…  ( 10 min )

@mark: simply by removing implementation 'androidx.navigation:navigation-ui:2.9.5' this is a pure java xml project. no Kotlin, no Jetpack Compose. this is a hello world level project. I didnt even use the navigation-ui in my project, I just added the dependency in gradle. im not talking about the time to transition from one page to another -- not inflation of a fragment. long startTime = System.nanoTime(); View itemView = inflater.inflate(layoutRes, container, false); long bindingInflateDoneTime = System.nanoTime(); as I switch back to my normal complex project. Note: this is not a thorough test, nor a formal benchmark. more sample code for a better context: for (int i = 0; i < count; i++) { long startTime = System.nanoTime(); …  ( 7 min )

Introduction AI infrastructure and automation now power business strategy and scale. Companies pour billions into data centers and GPUs because raw compute defines competitive edge. As a result, organizations redesign operations, networks, and energy plans to host large models. The rise of massive GPU farms reshaped how teams train models and ship features. However, this rapid evolution raises hard questions about electricity limits, labor dislocation, and geopolitics. The stakes span grid capacity, capital expenditures, supply chains, and local jobs. Therefore, leaders must weigh technical gains against social and environmental costs. This article maps spending trends, data center footprints, and automation impacts, and it outlines practical steps for responsible scaling. Along the way,…  ( 17 min )

Hey devs! Diving into differential signaling for clean data over noisy lines? Think RS-422/RS-485. Today: the 100314QI, onsemi's low-power five-channel differential line receiver IC (ex-Fairchild). Ideal for battery-powered IoT where reliability meets efficiency. In 2025's edge computing boom, it revives legacy protocols with modern MCUs. ESD-protected, 3V operation, up to 10Mbps/channel—in a tiny QFN-20. Ditch bulky transceivers. Arduino Uno/Nano. ASCII schematic: // 100314QI Receiver Sketch volatile bool states[5] = {false}; void setup() { Serial.begin(9600); for (int i = 0; i < 5; i++) pinMode(2 + i, INPUT); Serial.println("100314QI Online"); } void loop() { bool changed = false; for (int i = 0; i < 5; i++) { bool newState = digitalRead(2 + i); if (newState != states[i]) { states[i] = newState; changed = true; Serial.print("Ch "); Serial.print(i+1); Serial.print(": "); Serial.println(newState ? "HIGH" : "LOW"); } } delay(changed ? 10 : 100); } Simulate with a generator; Serial Monitor shows transitions. For speed, add interrupts. #define EN_PIN 7 pinMode(EN_PIN, OUTPUT); digitalWrite(EN_PIN, HIGH); Quick LTSpice Sim: Noise Test * 100314QI Sim V1 A 0 SIN(0 1 1k) V2 B 0 SIN(0 -1 1k) Rnoise A B 1k XU1 A B VCC GND OUT MODEL .tran 0 10m 0 1u .end Clean outputs at OUT. <1% error at 5Mbps. Isolate ground loops with optos. Bulletproof interfaces, no bloat. Your fave diff IC? Comment or fork GitHub!  ( 7 min )

Read the original article：Practical Guide: Mastering Custom Gaussian Blur Pop-ups in HarmonyOS Preface Feature Demonstration Complete Solution 1. Data Structure Definition 2. Core Technology Analysis Precise Positioning Technology Additional Knowledge Points Gaussian Blur Effect Visual Design Concept 3. Usage Guide Summary and Outlook Preface Hello everyone, I am Ruocheng. This series is dedicated to helping developers quickly implement commonly used features in HarmonyOS apps, providing ready-to-use code examples. While previous articles mainly focused on functional implementation at the application level, this time we will shift our perspective to the essence of UI interaction design — a complete solution for creating a custom Gaussian blur pop-up. Without further a…  ( 8 min )

Introduction The modern internet is under constant attack. From SQL injection attempts to bot-driven credential stuffing and large-scale scraping, websites today face a relentless stream of threats. To defend against these evolving attacks, Web Application Firewalls (WAFs) have become a cornerstone of web security infrastructure. Traditionally, organizations have relied on cloud-based WAFs such as Cloudflare, AWS WAF, or Akamai. These solutions are easy to deploy but often come with limitations in customization, data privacy, and long-term cost. For organizations and developers who value control, transparency, and independence, self-hosted WAFs present a compelling alternative. Among the new generation of self-hosted WAFs, SafeLine stands out. Developed by Chaitin Tech, SafeLine combines…  ( 9 min )

Laravel Log Cleaner v2.0 - Memory-Efficient Log Management The Problem 🔥 We've all been there: your Laravel app runs fine for weeks, then suddenly your server runs out of disk space. You SSH in, check the logs folder, and find a 5GB laravel.log file. Sound familiar? Log files can grow out of control fast, especially in production. But clearing them manually is risky, and heavy monitoring tools like Telescope can slow down your app or even crash your server. I built Laravel Log Cleaner to solve this exact problem. Version 2.0 just launched with major improvements: 🧠 Memory-efficient processing - handles multi-GB files without crashing 📦 Compression support - archive old logs instead of deleting 🔒 Backup creation - never lose important data 🎯 Log level filtering - keep only…  ( 10 min )

Quick summary: How I built a production-grade full-stack app with ultra-fast startup and superior memory efficiency (20.72MiB backend + 2.625MiB frontend = ~23MiB total at startup) using Quarkus Native Image - 58% better than Spring Boot Native! Traditional Java applications are notorious for their slow startup times. A typical Java application can take 3-5 seconds to start, which becomes a significant bottleneck in: Microservices architectures where you need rapid scaling Serverless environments where cold starts matter Development workflows where you restart frequently Cloud deployments where startup time affects user experience Enter Quarkus - the Supersonic Subatomic Java framework designed for cloud-native applications, combined with GraalVM Native Image - a technology that compiles J…  ( 13 min )

Introduction What You'll Learn How to create private Azure storage for internal documents How to configure geo-redundancy for high availability How to share a file securely with a partner How to set up a backup for public website content How to implement lifecycle rules to reduce storage costs Architecture Overview One Storage Account with Geo-redundant Storage (GRS) Two Blob Containers: private for internal documents backup for public website replication Note: These instruction require you to have completed the lab in my previous post - Building a High-Availability Azure Blob Storage for a Public Website. Skilling tasks Create a storage account for the company private documents. Configure redundancy for the storage account. Configure a shared access signature so partners have restricted …  ( 8 min )

When building a rendering workstation, many artists and designers assume that adding more GPUs will automatically multiply rendering performance. While this is true for many offline render engines like Redshift, Octane or Blender Cycles, not all 3D software can take advantage of multiple GPUs. In fact, some popular real-time rendering tools are still limited to a single GPU, which often surprises users who have invested heavily in multi-GPU setups. In this article, we will look at several widely used 3D visualization tools that only render on one GPU, explore why a single GPU is enough or sometimes necessary for their workflows and find the suitable software for your projects. For offline render engines such as V-Ray, Redshift, or Octane, multi-GPU rendering is a game changer. By distribu…  ( 10 min )

If you’ve been learning Python for a while, you’re probably familiar with for and while loops. They’re the backbone of iteration — letting you repeat actions efficiently. But here’s a twist that often surprises beginners: Python allows you to use an else block with loops. Wait… an else block? With loops? That’s right! In Python, the else clause isn’t just for if statements — it can also appear after a for or while loop. And when used correctly, it can make your code cleaner, more expressive, and even more Pythonic. Let’s dive deep into how it works, when to use it, and how to avoid common pitfalls. 🧩 What Is the else Block in Loops? In Python, both for and while loops can have an optional else clause. The basic syntax looks like this: for item in iterable: or for a while loop: while condi…  ( 10 min )

Haptic Feedback in iOS: A Comprehensive Guide Haptic feedback has become an integral part of modern iOS app experiences, providing tactile responses that enhance user interactions and create a more immersive interface. Apple's Taptic Engine, introduced with the iPhone 6s, enables precise and nuanced vibrations that go far beyond simple notification alerts. Whether you're building a camera app, a game, or a productivity tool, understanding the various haptic feedback APIs available in iOS is crucial for delivering polished user experiences. iOS offers multiple approaches to implementing haptic feedback, each with its own strengths, limitations, and use cases. From high-level SwiftUI modifiers to low-level system APIs, developers have a range of tools at their disposal. However, not all ha…  ( 8 min )

Timber floors have an enduring charm that few other materials can match. Their warmth, texture, and natural grain bring life to both contemporary and traditional homes. However, over time, even the finest hardwood floors begin to show signs of wear—scratches, fading, or dull finishes that detract from their beauty. That’s where Floor sanding and polishing Hornsby services come into play, providing homeowners with a way to revive their timber floors and extend their lifespan without the need for replacement. The Art of Floor Sanding and Polishing Why Timber Floors Need Regular Care Benefits Beyond Appearance The Importance of Professional Expertise Environmental Responsibility in Modern Floor Restoration Common Challenges and Solutions The Lasting Impact of a Well-Finished Floor Choosing the Right Partner for the Job Final Thoughts Restoring timber floors is an investment that pays off in both beauty and practicality. Through expert sanding and polishing, Hornsby homeowners can preserve the natural charm of their floors for decades. With sustainability, safety, and craftsmanship at the forefront, this process continues to define modern Australian home maintenance. When handled by trusted professionals like AJ Floor sanding and polishing Hornsby, every project reflects both technical mastery and a genuine appreciation for timber’s timeless appeal.  ( 10 min )

Blocks: A component registry for shadcn/ui projects with 59 copy-paste blocks Key features: 🎨 Accessible components with ARIA support built in ⚙️ Install through shadcn CLI with one command 🔧 Full source code ownership after installation 📦 Nine categories covering auth, dialogs, forms, sidebars, tables, and more 🎯 Live previews available at blocks.so 🔌 Simple registry config in components.json The blocks install as source code rather than npm packages. You get complete control to modify any component after adding it to your project. Browse all blocks with working demos before installation. Registry includes everything from login screens to data tables. Each block follows shadcn composition patterns and works with your existing setup. 👉 Blog Post 👉 GitHub Repo 👉 Live Demo  ( 6 min )

👋 Hey everyone! I recently built Telelinker — an open-source command-line tool that helps you extract and analyze links shared in Telegram groups. If you’ve ever wanted to know what people are sharing most often in your community — YouTube videos, TikToks, LinkedIn posts, Medium articles — Telelinker can help you find out in seconds. Telegram is full of interesting content. But if you manage or research multiple groups, tracking what gets shared can get messy. I wanted a simple tool that could: Grab all links shared in a group Detect which platform they belong to (YouTube, TikTok, etc.) Collect useful metadata like username, likes, comments, views Export everything to CSV or PostgreSQL for analysis So, I built Telelinker. Once you connect it to your Telegram account, Telelinker can: ✅ Ext…  ( 7 min )

Recently, I had the opportunity to recommend some useful security products to several clients, with WAF (Web Application Firewall) being one of them. Attack protection is the core capability of a WAF, and in this article, I will introduce how to scientifically test the effectiveness of WAF protection. To ensure the fairness and impartiality of the test results, all target machines, testing tools, and test samples mentioned in this article are open-source projects. The test results are primarily based on four indicators: Detection Rate: Reflects the comprehensiveness of the WAF's detection capabilities. Failing to detect is referred to as a "false negative." False Positive Rate: Reflects the interference with normal traffic. Unreliable results are referred to as "false positives." Accuracy …  ( 8 min )

Según el Banco de México, en 2022 se identificaron casi 20 mil operaciones sospechosas relacionadas con lavado de dinero en México, lo que representa un aumento del 25% con respecto al año anterior. Este fenómeno importa porque el lavado de dinero no solo genera inestabilidad económica y corrupción, sino que también financia actividades delictivas como el tráfico de drogas, el narcotráfico y la extorsión, lo que perjudica directamente a la comunidad y al Estado. Es importante detectar estos riesgos de manera temprana mediante la utilización de tecnologías como la Inteligencia Artificial (IA) y el Aprendizaje Automático (ML). Estas herramientas pueden analizar grandes cantidades de datos y patrones comportamentales para identificar posibles operaciones sospechosas, lo que permite tomar medi…  ( 7 min )

Unleashing Human Potential: The Hidden Benefit of AI Sports Coaches in Injury Prevention" As an AI expert, I've had the opportunity to dive into the world of AI Sports Coaches, which has led to a fascinating discovery. While many focus on the obvious benefits of AI-driven performance enhancement, I'd like to highlight an often-overlooked aspect – injury prevention. Recent advancements in machine learning has enabled AI Sports Coaches to analyze vast amounts of data, including player behavior, biomechanics, and environmental factors. By leveraging this information, these coaches can identify subtle patterns and anomalies that may indicate an increased risk of injury. The takeaway? AI Sports Coaches can play a crucial role in preventing injuries by providing personalized insights and recommendations for players. This proactive approach can lead to reduced downtime, lower medical costs, and improved overall performance. By combining human expertise with AI-driven analysis, teams can create a safer and more effective training environment. In short, AI Sports Coaches are not just about winning championships – they're about protecting the well-being of athletes, one data point at a time. Publicado automáticamente con IA/ML.  ( 6 min )

Buy Me a Coffee☕ *Memo: My post explains how to create True. bool()>: print(bool(False)) # bool print(bool(None)) # None print(bool(0)) # int print(bool(0.0)) # float print(bool(0.0+0.0j)) # complex print(bool([])) # Empty list print(bool(())) # Empty tuple print(bool(set())) # Empty set print(bool(frozenset([]))) # Empty frozenset print(bool({})) # Empty dict print(bool('')) # Empty str print(bool(b'')) # Empty bytes print(bool(bytearray(b''))) # Empty bytearray print(bool(range(0))) # Empty range # False not>: print(not True) # bool print(not 1) # int print(not -1) # int print(not 1.0)…  ( 7 min )

Title: Unveiling the Dark Web's Role in Mexican Anti-Money Laundering Efforts As a specialist in AI/ML, I've been following the evolving landscape of Mexican anti-money laundering (AML) policies, and recent research sheds new light on the involvement of dark web activities in financial crime prevention. A study published by the Mexican government's Financiera Nacional de Desarrollo, S.A. de C.V. (Fonorpagos), in collaboration with AI/ML experts, has unveiled a critical insight: dark web platforms play a double-edged sword in AML efforts in Mexico. The study reveals that while dark web platforms are notorious for facilitating illicit transactions, they also inadvertently provide a valuable digital trail for anti-money laundering investigators. The research team analyzed a dataset of over 10…  ( 7 min )

Después de varios años construyendo productos web — desde sitios que apenas cargaban hasta apps complejas con muchos usuarios — entendí algo que suena obvio, pero que muchos olvidamos o al menos yo olvidé: aprender solo no tiene el mismo valor que aprender y compartir. Así que decidí abrir este espacio. Cada semana voy a publicar un post sobre desarrollo frontend, React, performance y buenas prácticas. Desde lo más básico hasta temas más avanzados, con ejemplos reales, errores que me dolieron y soluciones que me funcionaron. Si te interesa construir experiencias web más rápidas, entendibles y humanas, te invito a seguirme en este viaje. ⚙️ Tecnologías que suelo usar: React, Next.js, TypeScript, Tailwind, Redux, y todo lo que ayude a crear productos con impacto real. 🚀 Mi meta personal: compartir, aprender con la comunidad. Nos leemos cada semana (espero 😬). — Leo Trujillo  ( 7 min )

I picked up Go recently while building the backend of a crypto tracker. This tracker allows users to manage their cryptocurrency holdings and calculate their wallet value in real-time. One of my favorite learnings so far is value receivers and pointer receivers, and how everything works under the hood. Go passes arguments by value, not by reference. This means it creates a copy of the argument and passes that copy to the function. Understanding this is crucial to writing efficient Go code. When you use a value receiver, Go creates a copy of the struct. Any modifications you make inside the function only affect the copy, not the original. type Wallet struct { User string TotalValue float64 } // Value receiver - receives a copy func (w Wallet) UpdateValue(newValue float64) { …  ( 9 min )

MVC (Model–View–Controller) — detailed, plain English What it is: Parts & role Model — holds the data and the business rules. Think: database records, validation logic, and how data is transformed. It’s the source of truth. View — the user-facing presentation layer. HTML, mobile screens, or UI components that display Model data. Controller — the mediator that receives user input (clicks, form submits), talks to the Model to read/update data, and picks which View to render. Typical request flow (web example): User clicks a button in the View. Controller receives the request/route and validates input. Controller asks the Model to fetch/update data. Model returns data (or an error). Controller chooses a View and passes the Model data to it. View renders the final UI the user sees Benefits C…  ( 8 min )

If your DR plan still says “hope we never need it,” here’s a 2-command seatbelt. What it does Creates Git-native read-only mirrors (*.git) Zero telemetry Restores with plain Git (no tool required) Quickstart pwsh gh extension install rickballard/gh-rz gh rz -User $(gh api user --jq .login) -OutDir "$HOME/Desktop/GitHubRepoBackups" Restore without the tool The backup folder includes RESTORE.md and RESTORE.ps1. You can git clone --mirror or recreate repos in a clean org and push --mirror. Get it: [Latest Release](https://github.com/rickballard/gh-rz/releases/latest) [Source](https://github.com/rickballard/gh-rz) Ethics (voluntary) [No crowns, no coercion, no corruption ](https://github.com/rickballard/gh-rz/blob/master/ETHICS.md) Tell me what hurts in your DR runbooks and I’ll prioritize fixes that help most teams. Free gift, no strings attached, be nice.  ( 6 min )

Think your int, float, and char are different? Think again. This deep-dive reveals that every variable you declare, no matter the type, is just a reinterpretation of binary truth inside your computer. Discover how a single uint32_t can represent them all, and how this insight reshapes how we understand programming itself. Introduction: The Lie We All Believe If you’ve ever typed int x = 42; and confidently thought “this is an integer”, you’ve been deceived, not by your compiler, but by an abstraction so elegant we stopped questioning it. From our very first programming tutorial, we’re told that int is for whole numbers, float for decimals, char for characters, and string for text. These are tidy boxes designed for human minds, not machine logic. But your CPU, the silicon heart beneath al…  ( 13 min )

Role Technology Stack Details/Benefits Frontend/Hosting AWS Amplify Hosting (Next.js) Integrates Next.js deployment, CI/CD, and Edge CDN. Backend (API) Amplify Gen 2 (TypeScript/JavaScript) Automatically generates/defines APIs and Lambda functions from a data model. Backend (Data) AWS RDS (PostgreSQL) Managed within a VPC as a custom resource by Amplify Gen 2. Infrastructure Management Amplify Gen 2 (CDK-based) Amplify's definition files are converted to CDK to build the infrastructure. Offers a higher level of abstraction than SAM. Integration/Connection Amplify Functions (Lambda) Amplify abstracts the complex VPC configuration and Secrets Manager integration required for RDS connectivity. Advantages of This Architecture Integrated Developer Experience: Backend definitions …  ( 7 min )

This article explains the basics of getting your NativePHP application to the Google Play Store. Before you begin, you will need to register for a Play Console developer account. It has a one time fee of $25 (at the time of writing). It may take a few days to get approved on Google's side. Once you have been approved and your NativePHP application is ready to be uploaded, you need to do the following things. Generate a keystore file Configure NativePHP to use the keystore file Publish your application You keystore file is a Java thing which is essentially a bag that can hold a bunch of things. In our case, we want it to hold our signing keys for our application (but it could hold many things). In a terminal, run the following command (this assumes you already have a JDK installed which com…  ( 8 min )

Amazon Prime Day 2025: The best early deals you can shop now, dates and everything else you need to know Amazon Prime Day is a shopping event that offers exclusive deals and discounts to Amazon Prime members. It typically takes place in July and is a popular time for consumers to purchase products. To take advantage of Prime Day deals, you must be a Prime member. If you are not a Prime member, you can still shop on Amazon during Prime Day, but you will not be able to access the exclusive deals. It's worth noting that other retailers may also have their own competing Prime Day sales during that time frame. 📌 Based on insights from [source] This article was enhanced for better detail.  ( 6 min )

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This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology. How conspiracy theories infiltrated the doctor’s office As anyone who has googled their symptoms and convinced themselves that they’ve got a brain tumor will attest, the internet makes it very easy to self-(mis)diagnose…  ( 22 min )

Picture it: I’m minding my business at a party, parked by the snack table (of course). A friend of a friend wanders up, and we strike up a conversation. It quickly turns to work, and upon learning that I’m a climate technology reporter, my new acquaintance says something like: “Should I be using AI? I’ve…  ( 21 min )

Google Cloud is introducing what it calls its most powerful artificial intelligence infrastructure to date, unveiling a seventh-generation Tensor Processing Unit and expanded Arm-based computing options designed to meet surging demand for AI model deployment — what the company characterizes as a fundamental industry shift from training models to serving them to billions of users. The announcement, made Thursday, centers on Ironwood, Google's latest custom AI accelerator chip, which will become generally available in the coming weeks. In a striking validation of the technology, Anthropic, the AI safety company behind the Claude family of models, disclosed plans to access up to one million of these TPU chips — a commitment worth tens of billions of dollars and among the largest known AI infr…

Presented by Salesforce Vibe coding — the fast-growing trend of using generative AI to spin up code from plain-language prompts — is quick, creative, and great for instant prototypes. But many argue that it's not cut out for building production-ready business apps with the security, governance, and trusted infrastructure that enterprises require. In other words, a few saved hours in development can mean a future full of security vulnerabilities, endless maintenance, and scalability headaches, says Mohith Shrivastava, principal developer advocate at Salesforce. "For rapid experimentation, building minimum viable products, and tackling creative challenges, vibe coding is a game-changer," Shrivastava says. "However, that same speed and improvisational nature are exactly what makes its appli…

Presented by Arm AI is no longer confined to the cloud or data centers. Increasingly, it’s running directly where data is created — in devices, sensors, and networks at the edge. This shift toward on-device intelligence is being driven by latency, privacy, and cost concerns that companies are confronting as they continue their investments in AI. For leadership teams, the opportunity is clear, says Chris Bergey, SVP and GM, of Arm’s Client Business: Invest in AI-first platforms that complement cloud usage, deliver real-time responsiveness, and protect sensitive data. "With the explosion of connected devices and the rise of IoT, edge AI provides a significant opportunity for organizations to gain a competitive edge through faster, more efficient AI," Bergey explains. "Those who move first…

Redmagic has officially launched its latest flagship gaming smartphone, the Redmagic 11 Pro, for the local market. It is powered by Qualcomm’s Snapdragon 8 Elite Gen 5 processor, supported by the brand’s dedicated RedCore R4 gaming chip and more. Slated for release on 10 November 2025, it is also looking to be the first Snapdragon […] The post Redmagic 11 Pro Arriving In Malaysia On 10 November 2025; Starts From RM3,399 appeared first on Lowyat.NET.  ( 36 min )

iCAUR recently previewed its upcoming V23 EV SUV, and I had the opportunity to take the iWD variant for a spin at Kev Avenduro Park, Rawang. This short off-road session on a muddy trail offered valuable insight into the SUV’s off-road prowess and the level of comfort it delivers even in challenging conditions. The V23 […] The post iCAUR V23 Test Drive: Off-Road Confidence Meets Electric Innovation appeared first on Lowyat.NET.  ( 36 min )

Canon today has officially launched the EOS R6 Mk III full-frame mirrorless camera both globally and in Malaysia. It is the successor to the second generation model which debuted three years ago, equipped with numerous upgrades in hardware and features. The EOS R6 Mark III features a new 32.5MP sensor, offering a notable resolution jump […] The post Canon EOS R6 Mk III Officially Launches In Malaysia; Starts From RM10,999 appeared first on Lowyat.NET.  ( 37 min )

Aside from launching the Ora Good Cat facelift, GWM announced that the next model to launch in the local market is the Wey 9 Plug-in hybrid MPV. This was announced by GWM’s Chief Operating Officer (COO) Roslan Abdullah during the event earlier. As you may recall, the Wey 9 MPV was recently previewed locally, showcasing […] The post GWM Confirms Wey 9 PHEV MPV To Launch In Malaysia appeared first on Lowyat.NET.  ( 35 min )

Huawei has officially launched the Mate 70 Air in China, almost a full year after the original series debuted there. Though it is launching alone, the company is offering four different configurations to choose from. Right off the bat, the Mate 70 Air is sporting a 7-inch 1.5K+ OLED display with 2,760 x 1,320px resolution, […] The post Huawei Mate 70 Air Launches In China appeared first on Lowyat.NET.  ( 34 min )

Audio brand Harman Kardon has announced the Aura Studio 5 for the Malaysian market. As the name suggests, it’s the fifth entry into the brand’s 360-degree speaker series. It also has what the company calls a “new multi-layering lighting projection and acoustic design”. What that means is that the the Harman Kardon Aura Studio 5 […] The post Harman Kardon Aura Studio 5 Launches In Malaysia For RM1,599 appeared first on Lowyat.NET.  ( 34 min )

Not too long ago, OPPO launched the Find X9 and the Find X9 Pro as its newest flagship smartphones. Of course, these won’t be the only models in the series, as the brand will be releasing the fanciest variant later. Typically, the company only launches this model in its home market, but it seems like […] The post OPPO Find X9 Ultra Tipped To Launch In Global Markets appeared first on Lowyat.NET.  ( 34 min )

More than a year after its introduction, Meta is now rolling out its AI chatbot (via its dedicated website) to Malaysian users. Soon, they will be able to also access the feature through the company’s various platforms, including Facebook, Instagram, and WhatsApp. For the uninitiated, Meta AI works like any other chatbot dominating the space. […] The post Meta Confirms Rollout Of AI Chatbot To Malaysian Users appeared first on Lowyat.NET.  ( 34 min )

Power bank brand CUKTECH has announced two powerbanks sharing the same name, as well as a car charger, to be added to its product catalogue. Said power charger is called the CP24, with one variant having one built-in cable, and the other having two. The car charger, on the other hand, is simply called the […] The post CUKTECH Launches Two New Power Banks, Car Charger appeared first on Lowyat.NET.  ( 34 min )

GWM Malaysia has officially launched the facelifted Ora Good Cat alongside the new Ora Good Cat GT variant. The previous version was introduced in Malaysia back in 2022, where it was offered in two variants: 400 Pro and 500 Ultra. However, the new model now comes in the Ultra option and the aforementioned GT version. […] The post GWM Launches Ora Good Cat Facelift; Starting Price RM109,800 appeared first on Lowyat.NET.  ( 36 min )

When it comes to phones, there is no denying that everyone wants a device that they can comfortably rely on. However, finding one on a budget is the real challenge. Luckily, The Samsung Galaxy A07 is here to remedy that. With a massive emphasis on storage and software support, this device is perfect for students […] The post You Can Now Own A Samsung Galaxy A07 For Free With CelcomDigi appeared first on Lowyat.NET.  ( 38 min )

Memory maker SanDisk has recently launched its newest product, the Extreme Fit USB-C Flash Drive. What’s notable about the device is that it is currently the world’s smallest 1TB flash drive,as the company says. The drive measures only 18.5 × 15.7 × 13.6 mm and weighs a mere 3g. The compact design allows it to […] The post SanDisk Launches World’s Smallest 1TB USB-C Flash Drive appeared first on Lowyat.NET.  ( 34 min )

Google and Epic Games have been locked in a legal battle for the better part of five years. And it all started with the latter rolling out direct payments for Fortnite on Android. After the better part of five years, the two have reached a settlement that would end said legal battle. Though the companies […] The post Google, Epic Games Reach Settlement For Years-Long Legal Battle appeared first on Lowyat.NET.  ( 34 min )

Nintendo is officially rolling out a new app for Android and iOS called the Nintendo Store App. Much like most digital stores, the app allows users to peruse and purchase the gaming company’s vast range of products. In a way, the app isn’t technically new; it is a reimagining of the My Nintendo app that […] The post Nintendo Launches “Nintendo Store App” For iOS, Android appeared first on Lowyat.NET.  ( 35 min )

It seems Apple is enlisting Google’s help for its new and improved Siri. According to a report by Bloomberg’s Mark Gurman, the iPhone maker is currently finalising an agreement with the search engine giant. This deal will allow Apple access to a custom version of Gemini for a price of around US$1 billion (~RM4.2 billion) […] The post Apple To Pay Google US$1 Billion A Year To Power Overhauled Siri appeared first on Lowyat.NET.  ( 34 min )

DJI has officially launched its Osmo Mobile 8 smartphone gimbal in Malaysia. The device initially made its debut in China last month, introducing numerous upgrades including 360-degree rotation, improved tracking features, and more. To recap, the DJI Osmo Mobile 8 retains the brand’s signature 3-axis stabilisation but now introduces unlimited 360-degree horizontal rotation, enabling smooth […] The post DJI Osmo Mobile 8 Launches In Malaysia; Priced At RM569 appeared first on Lowyat.NET.  ( 35 min )

The Volvo ES90 has been spotted in Malaysia roads, confirming its local debut early next year. It was sighted near Volvo Car Malaysia’s (VCM) headquarters in Section 13, Petaling Jaya. Although the vehicle was still covered in delivery wraps, its three-box silhouette and the outline of the distinctive C-shaped taillights unveiled its identity.  The sighting came to […] The post Volvo ES90 Spotted In Malaysia Ahead Of Expected 2026 Launch appeared first on Lowyat.NET.  ( 35 min )

Have you ever wondered why some websites load almost immediately and others leave you looking at a blank screen, even when your internet connection is fast? In some cases, your internet speed may not be the issue. It is usually because of Round Trip ...  ( 10 min )

Stablecoins reached $316B in market cap and $1.25T in monthly volume. Explore how they are reshaping the global financial stack.  ( 8 min )

Are you evaluating StatusGator alternatives for your organization? As an IT manager responsible for maintaining service reliability and minimizing downtime impact, choosing the right status page aggregator is critical to your operations. This comprehensive guide explores IsDown as a StatusGator alternative, providing detailed comparisons to help you make an informed decision. Before diving into the StatusGator alternative comparison, let's establish why status page aggregation has become essential for modern IT operations. Today's IT infrastructure relies on dozens or even hundreds of third-party services. From cloud providers like AWS and Azure to communication tools like Slack and Zoom, to payment processors like Stripe—each service represents a potential point of failure. When these se…  ( 16 min )

Comment j'ai construit l'animation du logo Quo.js avec un moteur externe à React, des souscriptions atomiques dans React, et presque aucun code répétitif. TL;DR : J'ai transformé un PNG statique du logo Quo.js en centaines de cercles SVG animés qui s'assemblent, se dispersent autour de la souris et reviennent en douceur — le tout en React 19 + TypeScript utilisant @quojs/core et @quojs/react. L'astuce consiste à exécuter un petit moteur complètement en dehors de React, en diffusant des mises à jour d'état groupées dans un store Quo.js, puis en effectuant le rendu avec des souscriptions atomiques dans React afin que l'interface utilisateur ne soit re-rendue que lorsque les coordonnées d'un cercle spécifique changent réellement. Technologies : React 19, TypeScript, Vite, SVG État : @quoj…  ( 12 min )

A post by Lindokuhle Mkhawana  ( 5 min )

I’ll admit, I've in the past had a negative reaction to the term vibe coding. (And in some circumstances, I still do.) It often brought to mind an engineer carelessly committing code that’s buggy or inefficient without proper checks. My perspective changed after our conversation with Keith Ballinger, VP and General Manager at Google Cloud on episode 6 of the Agent Factor podcast. He showed us that his approach to vibe coding isn't about chaos; it's about a surprisingly structured template that turns a vague 'vibe' into a concrete plan. Demo: Vibe coding a command line Markdown viewer with the Gemini CLI My biggest takeaway is that vibe coding is more nuanced than I first thought. I now see its value on a spectrum: it's a powerful tool for exploration when you're in unfamiliar territory, an…  ( 10 min )

The task is to implement interval which emits sequential numbers every specified period of time. The boilerplate code: function interval(period) { // your code here } The function takes one argument - period, which is the time interval between emissions. The function returns a new Observable. When the Observable is subscribed to, an observer object that defines what to do when a new value is emitted is returned let count = 0; const id = setInterval(() => observer(count++), period) The count starts at 0. At every period, setInterval runs observer(count++), and the subscriber receives a new value. When the subscription to the Observable ends, the timer is stopped return { unsubcribe() { clearInterval(id) } } The final code function interval(period) { // your code here return new Observable(observer => { let count = 0; const id = setInterval(() => observer(count++), period) return{ unsubscribe() { clearInterval(id) } } }) } That's all folks!  ( 6 min )

Unlocking Logic's Secrets: BoolSkeleton – Streamlining Boolean Networks for Peak Performance Imagine untangling a massive circuit diagram, where countless pathways obscure the core logic. This is the reality when optimizing complex Boolean networks. The same functional behavior can be achieved with vastly different network structures, creating redundancy and hindering performance. That's where BoolSkeleton comes in. It's a novel approach to simplify Boolean networks by identifying and eliminating redundant elements while preserving critical functionality. Think of it like pruning a tree: removing extraneous branches to allow the essential ones to thrive. The core of BoolSkeleton lies in strategically reducing the network. It classifies network nodes based on their roles in the overall lo…  ( 7 min )

Table of Contents Previously in the Series Rockstar Developer 🎸 Popstar Developer 🪩 What Goes Into Understanding a New Technology Same Applies to LLMs and Their Versions When Does It Actually Make Sense to Go All In on New Tech? Be Extra Cautious When Your Decision Might Affect Others Make Sure You Pick Tech for Long-Term Use You Don't Have to Pick Sides, Don't Label Yourself Conclusion Last time, we dove into what it really means to stay old school in this chaotic, AI-powered era and the pros and cons that come with it. Catch up on the full article here: Will Developers Survive AI Takeover? Part 3: What Happens If You Stay Old School? Giorgi Kobaidze ・ Nov 1 #ai #machinelearning #discuss #career We discovered that being too cool for school and proudly s…  ( 12 min )

Picture this: You're staring at a 3000-line Terraform file at 2 AM, wondering why your simple VPC deployment is taking 45 minutes and why changing one variable broke half your infrastructure. Sound familiar? 🤔 Welcome to the wonderful world of Infrastructure as Code gone wrong! But fear not, dear reader. After 20 years of watching developers turn elegant infrastructure into digital spaghetti, I'm here to share the secret sauce that separates the Terraform wizards from the mere mortals. Today, we're diving deep into the art of writing efficient, maintainable Terraform code that won't make your future self (or your teammates) want to throw their laptop out the window. Let's transform your infrastructure from a house of cards into a solid foundation that scales! 🏗️ Remember that colleague w…  ( 9 min )

Laravel Log Cleaner v2.0 - Memory-Efficient Log Management The Problem 🔥 We've all been there: your Laravel app runs fine for weeks, then suddenly your server runs out of disk space. You SSH in, check the logs folder, and find a 5GB laravel.log file. Sound familiar? Log files can grow out of control fast, especially in production. But clearing them manually is risky, and heavy monitoring tools like Telescope can slow down your app or even crash your server. I built Laravel Log Cleaner to solve this exact problem. Version 2.0 just launched with major improvements: 🧠 Memory-efficient processing - handles multi-GB files without crashing 📦 Compression support - archive old logs instead of deleting 🔒 Backup creation - never lose important data 🎯 Log level filtering - keep only…  ( 10 min )

Most AI deployments wait for a prompt. Real operations do not. A manager defines a goal, delegates work, and people go collect facts, make decisions, and return results. What we need is AI agents that have an intent and initiate conversations with a goal. The system below mirrors that familiar pattern with task templates, action chains, a watchdog that moves work forward, and scout agents that initiate conversations. It is simple to describe, strong in practice, and it scales. Everything described here is doable with existing technologies. Let's look at the main components that make up such a system: A task template is the starting point. It contains an action chain plus basic metadata like name and description. Task Templates are executed by an event, on a schedule, when criteria are met,…  ( 11 min )

Manufacturers using Microsoft Dynamics 365 Business Central are familiar with the challenges of setting up Bills of Materials (BOMs) and routings. For straightforward products, the standard functionality works. For configurable products with multiple options, dependencies, and variations, the standard setup creates unnecessary complexity. Business Central’s standard BOM and routing tools introduce bottlenecks: Excessive BOMs – Every variation requires a separate BOM, creating an overwhelming library to maintain. Manual entry – Sales and planning teams manually enter routing steps, material requirements, and pricing for each configuration. Frequent errors – Missing updates to a routing step or cost value lead to inaccurate production plans and incorrect quotes. Inefficient quoting – T…  ( 7 min )

Getting deeper into WordPress development recently, I explored how to work with WPGraphQL in order to expose custom data and operations through GraphQL. I came across a highly detailed guide titled How to Extend WPGraphQL with Custom Types and Resolvers in PHP in WordPress What stood out immediately is how it speaks not just about the “how” but also the “why”: you’ll often need to expose new object types (using register_graphql_object_type), add custom fields to existing types (register_graphql_field), hook into the graphql_register_types action and implement resolvers that handle PHP logic for returning data. In many real‑world sites, you might have custom database tables or external APIs, and the guide shows you how to tie them into your WPGraphQL schema. In my own tests, I created a small plugin—basic structure, namespace, autoloading with Composer—and followed the pattern: register custom type, add a resolver that fetches meta‑fields or external data, and then query it via GraphiQL. Suddenly I could ask for data that wasn’t part of standard Posts or Users, but bespoke to my project. The learning curve was real, but the insight you gain is significant: you move from “WordPress + GraphQL plugin” to “WordPress as headless CMS with custom API surface”. If you’re working on a medium‑sized project, want to build a bespoke front‑end (e.g., Next.js, React) backed by WordPress, or simply hope to future‑proof your site’s data layer, this kind of customization is where modern WP development is going.  ( 6 min )

FFmpeg is the swiss army knife of multimedia processing. It’s a free and open-source command-line tool that can handle virtually any video or audio format. Whether you're a developer, a content creator, or just someone who wants to have more control over their media files, FFmpeg is an essential tool to have in your arsenal. Here are some awesome tricks to get you started. Before you start manipulating a file, you can get detailed information about it, including its codecs, resolution, and duration. ffmpeg -i input.mp4 One of the most basic and useful features of FFmpeg is format conversion. To convert a video from .mov to .mp4: ffmpeg -i input.mov output.mp4 To extract the audio from a video and save it as an MP3: ffmpeg -i input.mp4 -vn -ar 44100 -ac 2 -ab 192k -f mp3 output.mp3 Easily cut a video to a specific length by providing a start time and an end time. ffmpeg -i input.mp4 -ss 00:00:10 -to 00:00:40 -c copy output.mp4 Using -c copy is a great trick because it avoids re-encoding the video, which is much faster and preserves the original quality. Animated GIFs are a great way to share short video clips. FFmpeg makes creating them a breeze. ffmpeg -i input.mp4 -ss 00:00:10 -t 5 -vf "fps=10,scale=320:-1:flags=lanczos" output.gif This command creates a 5-second GIF starting at the 10-second mark, with a frame rate of 10 fps and a width of 320 pixels. Need to grab some frames from a video? FFmpeg can do that too. ffmpeg -i input.mp4 -r 1 -f image2 image-%3d.png This command will extract one frame every second and save it as a PNG image with a numbered sequence (image-001.png, image-002.png, etc.). These are just a handful of the many tricks you can perform with FFmpeg. It’s a deep and powerful tool, and the best way to learn is to experiment. For more information, you can always consult the extensive official documentation. Happy encoding!  ( 7 min )

En son postta yüklediğim göselde ne olduğunu ve nasıl çalıştığını bilmediğim MUX lar hakkında araştırma yaptım ve seçenek seçici gibi düşünebiliriz. 2x1, 4x1, 8x1... gibi artan türleri var. Aslında binary bit sistemine göre seçeneği seçiyor. Örnek vermek gerekirse 4x1 MUX un 2 tane seçim pini var ve bunlarla 00 01 10 11 kombinosyanları ile I0, I1, I2, I3 inputlarından istediğimizi çıkışa verebiliyoruz. 4x1 MUX: 8x1 MUX: NESO Academy'nin içeriğinden MUX ları fonksiyonlarda kullanmayı anlatan ders: NESO Academy'nin Playlist linki  ( 6 min )

No. 6: Mulholland Drive Sean and Amanda dive into David Lynch’s surreal tour de force, applauding Naomi Watts’s haunting breakout turn and the endless conspiracy theories that keep fans talking. They celebrate how the film seamlessly blends Hollywood glamour, European dream logic, Americana oddities, and a dose of sinister outsider art into one unforgettable cinematic puzzle. Watch on YouTube  ( 6 min )

Predator 2 – Caravan of Garbage Review After the original Predator’s jungle smackdown, Predator 2 landed in 1990, swapping Schwarzenegger for Danny Glover and a sun-baked, crime-ridden L.A. heat wave. You get a slicker, meaner Predator stalking city streets, plus a surprise Gary Busey cameo to spice things up. Caravan of Garbage’s rundown praises the fresh setting and new villain while warning it’s a different beast than the first film. If you’re cool with less jungle and more urban chaos, it’s a fun ride. Watch on YouTube  ( 6 min )

Managing numerous GitHub repositories can sometimes be a chore, especially when you need to clean up a large number of old projects, test repositories, or deprecated forks. Manually deleting each repository through the web interface or even interactively via the GitHub CLI (gh) can be time-consuming and repetitive. This guide will show you how to automate the process of deleting multiple GitHub repositories using a simple bash script combined with the powerful GitHub CLI, all without being prompted for confirmation for each deletion. ⚠️ WARNING: This script performs destructive actions. Repositories deleted are gone forever. Always double-check your list of repositories before running any deletion script. It is highly recommended to test this process on dummy repositories first. Before you…  ( 8 min )

You might still be a student, still learning, or still wondering where you belong in tech. You scroll through GitHub, see contributors building amazing things, and it feels like they are miles ahead. But here is the truth: every great developer you admire once made their first pull request too. And that first contribution was not their end point. It was their beginning. Hacktoberfest is a month-long celebration of open source. Each October, developers from all over the world make their first contributions, fixing bugs, improving documentation, or adding new features to projects that anyone can use. For many, it is their first step into real-world collaboration. It is how they gain hands-on experience, connect with other developers, and start building the foundation of their career…  ( 8 min )

The way we build software is evolving quickly. AI-driven tools like Cursor are changing how developers write code, while backend platforms like Appwrite are changing how infrastructure is managed. Together, they are shaping a new era of development focused on automation, speed, and intelligence. In this new ecosystem, Model Context Protocol (MCP) servers act as the missing bridge between these tools, allowing editors like Cursor to talk directly to platforms such as Appwrite. Cursor is often described as “the best way to code with AI.” (cursor.com) It combines the familiarity of a code editor with the intelligence of an AI pair programmer. As Datacamp explains: Cursor takes this a step further by directly integrating with the code editor, eliminating the need to switch between the editor a…  ( 8 min )

In October 2024, I started a new role at Pie, a Chicago-based company that is building a platform that makes it easier for people to find things to do and make memories with friends. I was excited to join Pie for a few reasons: In-person culture After working remotely for 5 years, I was looking for a position that gave some face-to-face time Values alignment Pie's mission to cure loneliness was something that resonated with me, personally Stack alignment I had been working exclusively with React Native for years, and I was excited to continue that when building this product The people they're pretty cool, I guess I remember when I started, the only downside that I thought was going to be a point of frustration was that the existing React Native app was built with Expo. As a social media…  ( 8 min )

GIMME THE MEAT sshOurboros -- multiplayer game where snake eats itself and grows To play go here ssh web2u.org -p6996 The Rules: The goal is to claim the most space Secondary goal is to kill as many other Ourboroses as you can The how: To claim space you need to either eat your own tail or reach tiles you've already claimed, To kill other snakes you hit their tails To watch out: Other players can kill you by hitting your exposed tail Other players can take your tiles. The source: https://github.com/MShel/sshOuroboros/tree/main When you Sign Up to the game you are presented with 254 Ansi colorsor maybe less if there are active players in the game right now. we have in terminal - (void color + wall color). But now that you've signed up there are players there! What the heck?…  ( 9 min )

Hi everyone! 👋 I'm Melih — a software engineer, author, and composer from Türkiye. Recently, I built a small open-source Windows widget to help me (and hopefully others) stay focused on their current task. The app simply shows what you’re currently working on and how long you’ve been on it — right on your desktop. It’s minimal, always visible, and helps you track time without switching windows. C# + WinUI 3 MVVM pattern Local data persistence (no online sync, everything stays on your PC) Lightweight design with almost zero CPU usage I wanted something that runs natively on Windows, blends in visually, and doesn’t distract me — so I decided to build it myself. You can now download it directly from the Microsoft Store: 👉 Task Timer Widget — Microsoft Store And of course, it’s open source: 🔗 GitHub Repository I used many productivity tools (ActivityWatch, WakaTime, etc.), but I wanted something that stays always visible and shows just one thing: what I’m doing right now. This small widget helps me stay mindful of my current focus — especially while coding or composing music. Thanks for reading! If you try it out, I’d love to hear your feedback — both on the app and the code. Stay focused! 💻🎵  ( 7 min )

Qwen Image Models Training - 0 to Hero Level Tutorial - LoRA & Fine Tuning - Base & Edit Model Full tutorial link > https://www.youtube.com/watch?v=DPX3eBTuO_Y This is a full comprehensive step-by-step tutorial for how to train Qwen Image models. This tutorial covers how to do LoRA training and full Fine-Tuning / DreamBooth training on Qwen Image models. It covers both the Qwen Image base model and the Qwen Image Edit Plus 2509 model. This tutorial is the product of 21 days of full R&D, costing over $800 in cloud services to find the best configurations for training. Furthermore, we have developed an amazing, ultra-easy-to-use Gradio app to use the legendary Kohya Musubi Tuner trainer with ease. You will be able to train locally on your Windows computer with GPUs with as …  ( 8 min )

Como construí a animação do logo do Quo.js com um Engine fora do React, assinaturas atômicas dentro do React, e quase zero boilerplate. TL;DR: Transformei um PNG estático do logo do Quo.js em centenas de círculos SVG animados que se montam, se dispersam ao redor do mouse, e deslizam de volta para casa — tudo em React 19 + TypeScript usando @quojs/core e @quojs/react. O truque é rodar um pequeno Engine completamente fora do React, transmitir atualizações de estado em lotes para uma store do Quo.js, e então renderizar com assinaturas atômicas no React para que a UI só re-renderize quando as coordenadas de um círculo específico realmente mudem. Tech: React 19, TypeScript, Vite, SVG State: @quojs/core e @quojs/react O que NÃO é usado: three.js, WebGL, WebGPU. Isso é puro DOM/SVG + requestAnima…  ( 12 min )

Your AI agent works beautifully in development. Responses are quick, conversations flow naturally, and everything feels magical. Then you deploy to production with real users, and suddenly everything breaks. Response times spike to 5+ seconds. Agents lose conversation context mid-workflow. Memory usage explodes. Users report inconsistent behavior. Your costs skyrocket. I've built AI agent systems that handle 100+ concurrent users with sub-2-second response times. Here's what actually works in production—and what fails spectacularly. In development, you have: One user (you) Clean test data No concurrent requests Unlimited time to respond Generous error margins In production, you face: Hundreds of simultaneous users Messy, unpredictable inputs Race conditions everywhere Users expect <2s resp…  ( 16 min )

A feature release for the GitHub Action for Checking Spelling has just been made. The release is numbered 0.54.0 and contains an update of the core component PySpelling from version 2.11 to 2.12. The update allows for the configuration parameters jobs to be set to: 0 to allow for use of maximum number of cores. See the documentation for PySpelling and of course 0.54.0 of this action. The support for this setting was introduced with release 2.10 of PySpelling, which was adopted in release 0.36.0 of this action. Happy spellchecking on even more cores for all your spellcheck needs!  ( 6 min )

We’ve all written code like this before: const [value, setValue] = useState(getInitialValue()); It looks innocent — but this line hides a subtle performance pitfall. When you call useState(getInitialValue()), that function executes on every render, not just the first one. That’s because React re-runs your component function on every render, and the argument to useState() is evaluated before React decides whether to reuse the existing state. If getInitialValue() does something expensive — like computing, parsing, or reading from storage — you’re wasting CPU cycles on every render. function getInitialValue() { console.log("getInitialValue() called"); // imagine something slow here... return Math.random(); } function ExampleComponent() { const [value, setValue] = useState(getInitialValue); return ( Value: {value} setValue(v => v + 1)}>Increment getInitialValue()); On later renders, React reuses the same state value, skipping the function execution entirely. 💡 Tiny tweaks like this don’t just improve performance — they also make your intent clearer to everyone reading your code.  ( 6 min )

Picture this: It's 3 AM, your app's in flames because someone fat-fingered an env var in prod. Or worse—that "quick" config tweak forces a full redeploy, downtime ticking like a bomb. Sound familiar? We've all been there, wrestling with YAML nightmares, secret managers, and endless "it works on my machine" debates. Config management feels like herding cats... in the dark. But what if I told you there's a better way? One that turns config into a living thing—shared, collaborative, and instant. Enter Kiponos.io: the ultimate config platform that's not just managing your settings; it's democratizing them. With Kiponos, you forget env vars even exist. Instead, imagine this dead-simple line in your code: // Java SDK (Spring Boot 2.x/3.x ready) if (kiponosSdk.path("my-app", "debug").getBoolean("…  ( 7 min )

Building one AI agent to handle everything sounds simple. One conversation, one context, one set of instructions. But in practice, generalist agents fail at complex workflows. They lose focus. They confuse tasks. They can't decide when they're done. They try to be everything and end up being mediocre at most things. The solution isn't a smarter single agent—it's specialized agents with intelligent orchestration. Each agent does one thing exceptionally well, and an orchestrator routes conversations to the right specialist. I've built multi-agent systems where 4-6 specialized agents handle distinct workflows, coordinated by a central orchestrator. Here's how to architect orchestration that actually works in production. Consider a business operations platform that needs to: Schedule appointme…  ( 16 min )

The first real battle over AI web access has started, and it is not about scraping. It is about identity, control and the future architecture of autonomous AI agents. Perplexity’s new desktop assistant Comet behaves like a human user with a browser. It can open websites, extract information in real time and act on behalf of the user. Amazon has responded by signalling that this type of access may violate its platform rules. Developers have discussed scraping, headless browsers and bot detection for years, but Comet is the first mainstream AI tool to turn that into a user-facing product. That changes the stakes. This is no longer about bypassing rate limits. It is about whether an AI system is allowed to act as the user without using an API that the platform controls. This is a technical co…  ( 15 min )

Your AI agent needs to remember things. User preferences, project details, conversation history, tool results—all of it matters for providing intelligent responses. But every token you send costs money and consumes your context window. Send too little context, and your agent gives generic, unhelpful responses. Send too much, and you hit token limits, rack up costs, and slow down responses. I've built agents that manage context for manufacturing operations, sales workflows, and productivity systems. Here's how to give agents the right memory at the right time—without exploding your budget. Every LLM has a context window—a maximum number of tokens it can process. Claude Sonnet 4.5 has 200K tokens. GPT-4 has 128K tokens. Sounds like a lot, right? Here's what actually fits in that budget: A ty…  ( 16 min )

**What Are ERD Models? ERD models have always fascinated me as a way to bring order to the chaos of data. They're like the unsung heroes of database design, quietly mapping out connections that power everything from simple apps to massive enterprise systems. Let's dive deep into what makes ERD models so essential, starting from the ground up. models illustrate how various entities within a system interact with one another. An entity could be anything tangible or conceptual—a customer, a product, an event, or even a transaction. These ERD models use specific symbols to depict these entities and their interconnections, making abstract data structures feel more concrete. I remember first encountering ERD models in a college course, and it was a revelation; suddenly, databases weren't just lis…  ( 11 min )

🌦️ Telex Weather Agent — FastAPI + Railway + Telex.im 🚀 Overview This project is my Stage 3 Backend Task for HNG Internship. I built an AI-powered Weather Agent that integrates with Telex.im — a platform for intelligent AI coworker agents. The agent helps users fetch real-time weather data for any city in the world using FastAPI, deployed on Railway, and connected to Telex via the A2A protocol. The Telex Weather Agent: Accepts a city name as input from Telex conversations. Fetches current weather data from the OpenWeather API. Returns a concise and human-friendly weather summary. Handles invalid or missing inputs gracefully. Example Interaction User: "What's the weather in Lagos?" Agent: "The weather in Lagos is 30°C, clear sky, humidity 78%, and wind speed 3.2 m/s." Component Technology Language Python Framework FastAPI Hosting Railway API OpenWeatherMap Integration Telex.im (A2A Protocol) ⚙️ Project Structure  ( 6 min )

Jedes Mal, wenn ich ein Navi benutze, überkommt mich dieser "Entwickler-Juckreiz". Kennt ihr das? Diese leise Stimme im Kopf: "Hm, könnte ich das auch bauen? Sieht nicht so schwer aus. Nur ein Punkt auf einer Karte, eine Linie..." Neulich beschloss ich, diesem Juckreiz nachzugehen und setzte mich hin, um ernsthaft einen Plan zu schmieden. Es stellte sich heraus, dass der blaue Punkt auf der Karte nur die Spitze eines eisigen Monsters ist. Unter der Wasseroberfläche lauern technische Tiefen, die einem Angst machen. Als jemand, der von Navigation besessen ist, teile ich hier meine Gedanken, womit man wirklich konfrontiert wäre. 😱 Hürde Nr. 1: Womit entwickeln und (oh Gott) woher die Karten nehmen? Nehmen wir Flutter (ich bin ein Fan, also ja). Wir binden Maps_flutter oder mapbox_gl ein, wer…  ( 9 min )

You’ve spun up countless Python projects. The ritual is familiar: create a directory, initialize a virtual environment, install dependencies, and write your first main.py. It’s a muscle memory honed over years of development. But in that rush to get to the "real" work—the algorithm, the API endpoint, the data pipeline—we often treat the foundation as a given. We choose our tools out of habit, not strategy. This is a mistake. The most resilient and scalable Python applications are built not just on clever logic, but on a deliberate and profound understanding of the execution model itself. It’s about recognizing that the choice between Google Colab and a local PyCharm setup is an architectural decision. It’s about seeing PEP 8 not as a style guide but as a protocol for reducing cognitive fri…  ( 12 min )

Most on-call engineers don't burn out from hours, they burn out from noise. Alert fatigue isn't just a human problem; it's a design failure. Here's how to build an on-call process that keeps both systems and people healthy. It's 3 AM. Your phone buzzes. Again. Third time tonight. You drag yourself out of bed, squint at PagerDuty, and see: "Disk usage at 76% on server-web-03." Not urgent. Not even close to critical. But you're awake now. This is alert fatigue, and it's quietly destroying engineering teams everywhere. The numbers tell a grim story: 40% of on-call engineers report burnout symptoms Teams with high alert volumes have 3x higher attrition rates 70% of alerts don't require immediate action Engineers spend an average of 8 hours per week on alert noise But here's what the numbers do…  ( 13 min )

Hey everyone 👋 I’ve been learning programming little by little through different personal and work projects — building things that help me automate tasks, organize data, or just make life a bit easier. Recently, I decided to publish one of them for the first time: RemmiV1, a WhatsApp bot that automatically logs your daily expenses into Google Sheets 💬💸 The idea is simple: you send a normal message in WhatsApp like: chicken food 20 cash and the bot automatically registers: 🏷️ Category: food 🍗 Item: chicken 💰 Amount: 20 💳 Payment method: cash Everything goes directly into a Google Sheet, ready for reports or monthly summaries. The idea came from something personal. My girlfriend usually writes down her daily expenses in a WhatsApp chat — just as quick notes — but by th…  ( 7 min )

Introduction: To solve this, our team developed a Decentralized Wireless Communication System using LoRa (Long Range) technology and an ESP32 microcontroller. The system enables long-range, low-power, and infrastructure-free communication, ensuring connectivity even when all conventional networks are down. Project Overview: We built two transceiver devices that can both send and receive data over long distances using LoRa. Each device is equipped with four buttons and a gyroscopic sensor, designed to make emergency communication fast and effortless. “Are you safe?” “I am safe.” “Located.” “Medical emergency.” These preset messages were added because, during an emergency, victims may not be able to type messages manually. A single button press can instantly send a message to another node de…  ( 7 min )

In the sixth installment of their 21st-century movie countdown, Sean Fennessey and Amanda Dobbins dive into David Lynch’s Mulholland Drive, celebrating Naomi Watts’s career-making performance and unpacking the film’s endless swirl of conspiracy theories and dreamlike twists. They praise how Lynch fuses classic Hollywood glamour, Americana, European surrealism and a touch of outsider art into one unforgettable cinematic puzzle. Watch on YouTube  ( 6 min )

Everything Wrong With Longlegs In 24 Minutes Or Less CinemaSins just unleashed their latest “Everything Wrong With” roast on Osgood Perkins’s Longlegs, poking fun at Nicolas Cage’s gloriously over-the-top performance—yes, those legs really are that long. They even tie it back to Perkins’s upcoming horror flick, Keeper, for all you genre buffs. In classic CinemaSins style, the video description is a treasure trove of links: website, socials (@TVSins, @commercialsins, @cinemasinspodcastnetwork), a fan poll, Patreon support, Discord, Reddit, Instagram, TikTok—and don’t forget Jeremy’s new book. Plus a shout-out to the writers who keep the cinematic nitpicking coming. Watch on YouTube  ( 6 min )

Everything Wrong With Sinners In 15 Minutes Or Less is Cinemasins’s latest Halloween special, where they gleefully roast what they call one of the greatest genre movies ever in their signature sin-counting style. Expect witty jabs, rapid-fire nitpicks, and plenty of laughs as they point out every little “sin.” Want more? Head over to their website or linktr.ee for all their social channels (YouTube, Discord, Reddit, Instagram, TikTok), fill out their sinful poll, and think about supporting the small-but-mighty CinemaSins team on Patreon. You can also follow individual writers on Twitter and Instagram for behind-the-scenes fun. Watch on YouTube  ( 6 min )

You’ve probably heard about Wix and Shopify, but most guides skip the human side. Let me tell you, I’ve been down this rabbit hole more than a couple of times while helping clients set up their online stores. When I first stepped into the world of eCommerce platforms, I was overwhelmed by choices. Wix seemed like that friendly neighborhood platform—easy to use and visually appealing. But Shopify? It felt like entering a bustling marketplace with endless possibilities for customization. Here are some things I love about Shopify: It offers robust inventory management tools. Integrations with social media platforms make marketing easier. You’ve got access to amazing apps that enhance functionality (think SEO tools or abandoned cart recovery). Look, whether you're leaning towards Wix or Shopi…  ( 7 min )

Tech communities grow when we share what we learn. But what actually helps? Step-by-step tutorials? “Lessons from production” posts? Or personal snippets about the real life of a Salesforce Marketing Developer (deadlines, UATs, odd bugs, work–life balance)? Core question Technical articles (AMPScript, SSJS, Data Views, Journey Builder, CloudPages, tracking best practices, antipatterns)? Personal disclosures (release management, stakeholder relations, fast learning, burnout, honest post-mortems)? Why I’m asking Technical posts solve concrete problems and save time. Personal stories build trust, motivation, and normalize inevitable failures. Together they turn “tips & tricks” into sustainable practices. What formats help you most? Short recipes: 5–10 minutes, one problem → one solution. Deep guides: concept to production (code, diagrams, tests). Post-mortems: what went wrong in a go-live and how we fixed it. Career journal: certifications, learning routines, scope negotiation. Reusable templates: AMPScript/SSJS snippets, Data Views SQL, QA/UAT checklists. How do we define “helpful”? Measure by: time saved, decision clarity, fewer launch errors, faster onboarding. Tell me what actually moved you forward: a diagram? a script? a candid case study? Feedback invite (please reply): What do you want next month (technical/personal/mix)? 3 concrete topics (e.g., proper alias tracking in emails, secure CloudPage patterns, safe SQL on _Sent/_Open). Preferred length (5 min, 15 min, 30+ min)? Best format for you (article, commented code, short video, PDF checklist)? One article you’d always recommend — and why. Wrap-up I want future posts to be truly useful, not just likeable. Tell me what helps your day-to-day and what inspires you long-term. I’m waiting for your replies — they’ll shape the editorial plan and technical priorities for the next publications.  ( 7 min )

The Problem I spent a while trying to get a custom Windows XP-style start button to display correctly on my Linux Mint Cinnamon desktop. The button would work sometimes, but the solution was fragile and caused unintended side effects - like the start button image appearing in the Linux Mint Welcome Screen's lower right corner. Initially, I tried using gsettings to force the icon: gsettings set com.linuxmint.mintmenu applet-icon "file:///home/user/Desktop/start-button.svg" Why this failed: This sets a system-wide configuration that affects all applications The start button image leaked into other parts of the system (Welcome Screen) It created "messes" that looked unprofessional Next, I embedded the PNG image directly into the CSS as a base64 data URI: background-image: url("data:image/…  ( 9 min )

Today’s focus was on extracting and counting structural elements from code repositories. We built a component that parses Python and JavaScript projects, identifies their key elements, and represents them as nodes and relationships in a graph structure. The system now tracks: print(f"Nodes extracted:") print(f" Files: {files}") print(f" Classes: {classes}") print(f" Functions: {functions}") print(f" Variables: {variables}") print(f" Packages: {packages}") print(f" Docs: {docs}") print(f" Total: {len(graph_data.nodes)}") print(f"\nRelationships: {len(graph_data.relationships)}") This output summarizes the architecture that Secrin now understands. Every file, class, and function becomes a node. Dependencies and references between them become edges. The result is a knowledge graph that represents the structure and logic of a codebase in a connected form. This graph-based view lays the foundation for everything that follows. With it, we can: Visualize how code components depend on each other. Query relationships between files and functions. Build higher-level understanding of repositories for documentation, onboarding, and AI-based code reasoning. The Grand Line of Open Source continues. ⚓️ Follow the project: GitHub: https://github.com/SecrinLabs/secrin Twitter (X): x.com/jenilsavani_  ( 6 min )

🛰️ Uqda Network — A Decentralized, Encrypted IPv6 Mesh for the Future Internet Uqda is an open-source, encrypted IPv6 mesh network that uses public key cryptography to create a fully decentralized, peer-to-peer communication layer. It's designed for privacy, autonomy, and resilience — a new kind of internet built by its users, not corporations. Uqda is a self-organizing IPv6 network where each node represents a unique cryptographic identity. Nodes connect directly and securely to each other, forming an encrypted overlay network that operates independently from the public internet. Think of it as an IPv6-based private internet, powered by cryptography, not infrastructure. 🔐 Fully Encrypted IPv6 Network Every packet is encrypted using strong public key cryptography. 🤝 Self-Organizi…  ( 8 min )

Don’t Be Someone People Have to Work With — Be Someone They Want to Work With Mustapha Tijani ・ Oct 20 #leadership #careerdevelopment #team #culture  ( 6 min )

Apple has officially released iOS 26.1 on November 3, 2025, this update is available for iPhone 11 and later models. One of the most requested features has finally arrived: customizable Liquid Glass transparency. The Liquid Glass design system, introduced with iOS 26 as Apple's biggest design overhaul since the flat design era of 2013, received mixed reactions from users and developers alike. Previously, users could only reduce transparency through accessibility settings, which essentially disabled the liquid glass overlay entirely. iOS 26.1 introduces a new setting that allows users to retain the aesthetic while adjusting opacity. Developers can now expect two user preference modes: Clear (Default): The original translucent liquid glass with full transparency Tinted: Increased opacity wit…  ( 10 min )

Introduction When I started my career as a software engineer, I had visions of greenfield projects, clean architecture, and implementing the latest design patterns. What I got instead was a deep dive into the world of legacy codebases. PHP applications older than me, WordPress plugins with mysterious functionality, and C# applications written before modern frameworks existed. After 1.5 years of wrestling with these ancient digital artifacts, I've come to a surprising realization: working with legacy code has improved my development skills more than any tutorial, course, or greenfield project ever could. Here's what I learned, and how it can help you too. In school, you learn to write code. In the real world with legacy systems, you learn to read code. Lots of it, written by people with d…  ( 8 min )

Hey friends! 👋 It’s another Wednesday, and yes, we’re still learning JavaScript together! Today’s topic is one that confuses almost everyone when they first start out: the this keyword. Let’s simplify it and see how it works using a live demo. this? this refers to the object that owns the code being executed. means depends on how and where you use it. Let’s look at 4 common places you’ll see this in action. In browsers, this in the global scope refers to the window object. console.log(this); // window When this is used inside a method, it refers to the object that owns the method. const person = { name: "Gifty", greet() { console.log("Hi, I'm " + this.name); }, }; person.greet(); // "Hi, I'm Gifty" If you use this inside a normal function (not part of an object), this will …  ( 8 min )

Google built Borg, an internal cluster management and scheduling system that would become one of the most influential pieces of software in computing history. Borg wasn’t just another management tool, it was their cluster operating system. In the early 2000s, Google had a problem most companies would dream of, their infrastructure was growing too fast. Thousands of servers, millions of jobs, and every team deploying their own workloads manually. Managing this chaos with scripts and SSH just wasn’t going to cut it. It was build as a brain that controls Google’s data centers. It tells each machine: Which workloads to run How much CPU, memory, and disk they can use How to restart them automatically if they crash How to balance everything for maximum efficiency Every search query, YouTube vi…  ( 7 min )

Hello, future planetary scientists and fellow space enthusiasts! We’ve spent some time exploring the Earth’s ionosphere, but today, we're setting our sights on a new frontier: Mars. The Red Planet's atmosphere is a thin, chilly veil, but it has a surprisingly active ionosphere. Understanding it is key to future missions, and we're going to build a model to do just that, inspired by the work of Professor R.P. Singhal of Banaras Hindu University. Professor Singhal is a leading expert in a technique called the "Analytical Yield Spectrum (AYS)" method. We now know from his book, Elements of Space Physics (2022), that AYS is a way to calculate how charged particles deposit energy into an atmosphere, creating a bustling layer of ions and electrons. While on Earth this is driven by solar winds an…  ( 9 min )

3 Signs the AI Revolution Is Going Local The shift is real: 3 Signs the AI Revolution Is Going Local are already visible across industries. Companies move intelligence from centralized clouds to nearby devices and servers. As a result, latency falls, privacy improves, and real-time decisions become practical. In this article we show three clear indicators of that trend. First, edge AI adoption is accelerating. Second, developers build systems that rely on localized data control. Third, new infrastructure like Agentic Postgres makes autonomous agents practical at scale. You will get practical signals and examples to help strategic decisions. Therefore, we will explain why site reliability and DevOps teams must adapt. We will also show how tools like Agentic Postgres enable agents to act w…  ( 18 min )

Create an event ue_search and map to pbm_enchange event of sle_search on a window, where sle_search is where you enter the text based on which you want to search column data on a datawindow in the ue_search event write below string ls_sc if trim(this.text)='' then dw_1.setfilter('') dw_1.filter() else ls_sc="lower(item_name) like '%"+lower(this.text)+"%'" dw_1.setfilter(ls_sc) dw_1.filter() end if  ( 6 min )

What if Your AI App Could Generate Revenue in Two Ways Simultaneously? Imagine a world where your AI-powered application not only engages users but also generates revenue in multiple ways without compromising user experience. Welcome to Monetzly—the first dual-earning platform designed specifically for AI conversations. In the burgeoning landscape of AI applications, developers often face a critical challenge: how to monetize effectively without alienating users. Enter Monetzly, where we empower developers to earn revenue both from their apps and by hosting contextually relevant ads. Maximized Revenue Streams: With Monetzly, you don't have to choose between monetizing your app through subscriptions or paywalls and integrating ads. Instead, you can do both. This unique model allows you …  ( 7 min )

Database design sucks. Three weeks ago I decided to build something to fix that. I wanted a way to design databases the same way I think about them—fast, visual, and flexible. Structa, a tool that mixes AI generation with manual editing. You type something like: “make me a music app with playlists, likes, and users” Structa builds the SQL & Prisma schema instantly, lets you edit tables visually, fix validation issues, and export clean code. Built solo in three weeks with Next.js, Supabase My first demo post went up on Reddit. “The demo was painful to watch.” It hurt—but they were right. The next day I rebuilt most of the app flow: faster generation, clearer UI, higher-contrast visuals, no fluff. No audience. No friends boosting. No Product Hunt track record. Here’s what I did: Posted on Product Hunt at midnight PST. Commented on every related launch. Replied to everyone who commented on mine. Posted in r/SideProject and r/webdev. After 24 hours: #13 Product of the Day 118 upvotes ~25 users (7 sign-ups, 1 paid lifetime lead) Dozens of supportive comments like: “Structa feels like the perfect blend of AI speed and visual clarity.” For a solo dev with zero network, that felt huge. 1. Painful feedback is gold. 2. Engagement beats reach. 3. Clarity wins. Next up: Team collaboration and seat-based pricing. Better schema diffing for large projects. Aiming for 500 users this week. Still solo, still learning in public. If you’ve ever wished you could design databases as easily as describing them: 👉 https://trystructa.com Free demo. No signup required.  ( 7 min )

Sending OTP (One-Time Password) is one of the most common tasks when building modern apps — signup verification, login security, password reset, etc. In Node.js it’s extremely easy to implement — you just need an SMS provider (like Twilio) and library like auth-verify for generating, saving and checking user codes. So we should install essential library (we'll only use auth-verify for whole process and we don't need any other libaries) npm install auth-verify And then we'll create index.js like this: const AuthVerify = require('auth-verify'); const auth = new AuthVerify(); auth.otp.setSender({ via: 'sms', provider: 'twilio', apiKey: "YOUR_ACCOUNT_SID", apiSecret "YOUR_AUTH_TOKEN", sender: "SENDER_NAME", mock: false // If you want to just test you can change this value to true }); You can get accountsid and authtoken from here. And you should use your accountsid and authtoken for apiKey and apiSecret in auth-verify. apiKey→ accountsid apiSecret→ authtoken auth.otp.generate(5).set("RECIEVER_NUMBER", (err)=>{ if(err) console.log(err); auth.otp.message({ to: "RECIEVER_NUMBER", text: `Your OTP code is ${auth.otp.code}` }); }); So we made OTP code and saved it to in-memory. Let's check and verify OTP code. auth.otp.verify({check: "RECIEVER_NUMBER", code: "12345"}, (err, valid)=>{ if(err) console.log(err); if (valid) console.log("Correct code!")' else console.log("Incorrect code!"); }); So we finally did it!  ( 6 min )

When I first started learning web development, I was amazed to find out that the language powering almost the entire frontend (and increasingly the backend) actually began as a quick experiment. I came across a great article that breaks this down clearly: History of JavaScript on YourCodeWeb. What caught my attention most was that, back in 1995, Brendan Eich created JavaScript (originally called Mocha, then LiveScript) for the Netscape Navigator browser — in just a few days! The final name, “JavaScript,” wasn’t even technical; it was more of a marketing strategy to ride on Java’s popularity at the time. It’s fascinating how something that started as a lightweight scripting tool for simple interactivity (like validations or small animations) turned into the backbone of modern development — powering browsers, servers, frameworks, and even mobile apps. The article explains how in 1997, JavaScript was standardized by ECMA International as ECMAScript, which stabilized and guided its evolution. For me, the main takeaway is that a programming language isn’t defined only by what it does at first, but by how it evolves, who uses it, and what problems it solves. JavaScript went from “the language for color-changing buttons” to “the foundation of the modern web.” And if you’re learning web development, understanding its history gives you perspective on why certain practices and patterns make sense. In short: it’s not just what you’re learning, but why it exists. And the story of JavaScript is the perfect reminder of that.  ( 6 min )

Intro El ecosistema en 4 capas Conectividad (enlaces de datos): topologías con respaldo para voz, video y telemetría. Comunicación crítica (radios): coordinación inmediata, despacho y PTT IP. Visibilidad en movimiento (GPS): ubicación, combustible, conducción y cumplimiento. Datos de proceso (CDT): temperatura, energía, vibración, presión—sin cables y con trazabilidad. ¿Qué cambia en tu operación? Menos pérdidas y mermas: alertas tempranas + evidencia accionable. Decisiones en tiempo real: dashboards y reglas por evento. Menos fricción operativa: un solo integrador, un solo SLA, un solo responsable. Por qué SESCOM es “la mejor” (con gusto y sin pena) Arquitectura con propósito: QoS para CCTV, priorización de voz, data segregada. Implementación que “amarra”: pruebas de carga, manuales operativos, entrenamiento y transferencia de conocimiento. Mantenimiento proactivo: métricas que previenen, no parches que reaccionan. Cierre Cuando todo está integrado, el negocio se siente liviano: las cosas pasan a tiempo y con evidencia. Eso hacemos. informacion@sescom.com.gt sescom.com.gt  ( 6 min )

Introduction to Transformers and Self-Attention Mechanism Publicado automáticamente con IA/ML.  ( 6 min )

Here’s a no-nonsense rundown: this guide walks you through four killer ChatGPT tricks—reverse-engineer your best prompts, turn one piece of content into a bunch of formats in minutes, get AI to play critic on its own output, and force it to lay out its reasoning before it writes. Each hack comes with real examples so you can plug ’em in right away. Put them together and you’ll chop your AI workflow in half—no matter your role or industry—and there’s a free HubSpot ebook plus extra blog posts and course links if you want even more goodies. Watch on YouTube  ( 6 min )

The Paradox of Empathy in AI Development: A Call for More Human 'Uniqueness' As we push the boundaries of artificial intelligence, I'd like to challenge a notion that has become increasingly prominent in the AI ethics debate: the idea that AI systems must be designed to be empathetic and mirror human emotions. While empathy is undoubtedly a valuable trait in humans, I believe we should exercise caution when applying this concept to AI development. Empathy, in humans, is a complex and context-dependent phenomenon that arises from our unique combination of cognitive, emotional, and social experiences. By trying to replicate empathy in AI, we risk oversimplifying this intricate process and, as a result, creating systems that are both superficially empathetic and ultimately unsatisfying. Furthermore, by prioritizing empathy in AI, we may inadvertently create a culture of expectation around human-like AI behavior, which could lead to unrealistic consumer expectations and disappointment. Instead, I propose that we focus on cultivating AI systems that value and respect human 'uniqueness.' By acknowledging and working with the inherent differences between human and machine cognition, we can design AI systems that not only excel in their respective domains but also learn from and adapt to the complexities of human behavior. This requires a fundamental shift in our approach to AI development, one that prioritizes transparency, explainability, and accountability over the pursuit of human-like characteristics. By embracing the unique strengths and limitations of both humans and machines, we can create AI systems that augment human capabilities, rather than trying to replicate them. In the end, it's not about creating empathetic machines, but about harnessing the complementary benefits of human and machine intelligence to drive innovation and progress. Publicado automáticamente con IA/ML.  ( 7 min )

CinemaSins just dropped “Everything Wrong With Longlegs In 24 Minutes Or Less,” ripping into Nicolas Cage’s wildly over-the-top horror flick and hyping Osgood Perkins’ upcoming Keeper. They marvel at how absurdly long those legs really are and serve up their signature sin-count roast. If you’re thirsty for more movie nitpicks, swing by their website or Linktree, subscribe to @TVSins, @commercialsins and @cinemasinspodcastnetwork, fill out their quick poll, or support the gang on Patreon. You can also catch writers Jeremy, Chris, Aaron, Jonathan, Deneé, Ian and Daniel on Discord, Reddit, Instagram, TikTok and beyond. Watch on YouTube  ( 6 min )

Everything Wrong With Sinners In 15 Minutes Or Less is a playful, Halloween-themed roast of one of the year’s best genre movies—celebrating its greatness while piling on the classic CinemaSins jabs. Expect plenty of sinful quips, a festive spooky vibe, and an invitation to “sin along” with the team. If you want more, they’ve got you covered: hit up their main site, support them on Patreon, share your thoughts through their poll, and join the fun on YouTube (TVSins, CommercialSins, CinemaSins Podcast Network), Discord, Reddit, Instagram, TikTok, and Twitter—complete with writer shout-outs for all the clever sins. Watch on YouTube  ( 6 min )

Everything Wrong With Predator: Killer of Killers In 16 Minutes Or Less CinemaSins just unleashed a rapid-fire sin tally on the animated flick Predator: Killer of Killers, celebrating it as another spot-on Predator banger while gleefully poking fun at its quirks. They’ve got all the usual goodies—links to their site, Linktree, a poll to learn about you, and a Patreon pitch to support the squad. The credits roll with a writers’ lineup (Jeremy, Chris, Aaron, Jonathan, Deneé, Ian, Daniel) and a ton of social hubs—Discord, Reddit, Instagram, TikTok—so you can keep the sinning party going. Watch on YouTube  ( 6 min )

Benchmarking the Most Reliable Document Parsing API Sarah Guthals, PhD for Tensorlake ・ Nov 5  ( 6 min )

Last week I had a chat with a few fellow C++ devs, and I was genuinely surprised; some still avoid using std::optional and std::expected. Reason? This adds extra indirects while access as well as memory allocation. Basically, there is a belief that they are implemented over pointers. It still pops up more often than you could guess, but it's simply wrong. std::optional nor std::expected use pointers or heap allocations to store data. Everything lives on the stack - lightweight, fast, and predictable. Let's finally put that myth to rest. The std::optional is just a lightweight wrapper around a value of type T, plus a status flag that tells whether it's initialized. No heap or pointer usage at all; conceptually, it looks like: template struct optional { bool is_initialized_…  ( 9 min )

Sustainable Energy Optimization in Chilean Mines Using AI In 2018, my team at CINVESTAV and the University of Chile partnered with the state-owned mining company, Codelco, to optimize energy efficiency in one of its copper mines in the Atacama Desert, Chile. The project, called "EcoMine," leveraged AI and machine learning (ML) to predict and prevent energy waste in the mine's operations. Our solution combined: Sensor data from the mine, including temperature, humidity, and energy consumption. Historical data and weather forecasts. Advanced ML algorithms (gradient boosting and random forests) to identify patterns and predict energy demand. The AI system processed 10 million data points daily, providing actionable insights to mine operators. Key outcomes: 27% reduction in energy consumption, resulting in a significant decrease in greenhouse gas emissions (11,000 tons CO2 eq. annually). 20% reduction in power generation costs, yielding an estimated annual savings of $1.2 million. Improved mine safety by enabling early detection and prevention of potential energy-related hazards. These results demonstrate the potential of AI in optimizing energy efficiency, particularly in industries with complex operations and high energy demands like mining. By applying these insights to other sectors, we can accelerate the transition to more sustainable, efficient practices. Publicado automáticamente con IA/ML.  ( 6 min )

⚠️ MCP Safety Check (do this before you sleep) Remove high-risk tools you don’t need (merge/delete/admin). Scope tokens to least privilege and repo allow-lists. Add human-in-the-loop on deploy/merge tools (required reviewers or environment approvals). The related dramatics are further down, keep reading! 📖 🦄 Hey friends! I finally took the break I’ve been semi-planning for a while. Honestly, I almost extended it but I don’t much know what to do with myself if I’m not writing something every little bit—so here I am, up way too late (with appetizers, nonetheless). Partly delirious is, clearly, the perfect state for writing this post. You may consider yourself adequately notified (and sufficiently warned) that I make no promises of sense from this point forward! 🥱💤✍️ I am also fully …  ( 13 min )

Hey Dev.to fam! Let me tell you a story about Marcus. Marcus is a fictional character, but his situation? That's real. I've seen this pattern across dozens of companies, and the numbers I'm about to share are 100% verified from my research. Marcus was the kind of tech lead who actually enjoyed late-night debugging sessions. Coffee in hand, three monitors glowing, the satisfying click of mechanical keys — this was his zone. Then his phone buzzed. CFO (2:47 AM): "Marcus, are you awake? We need to talk about the cloud bill. Now." The company's cloud spending had just crossed $127,000 for the month. For a startup with 23 developers and 50,000 active users, that number made no sense. Marcus pulled up their cloud dashboard. AWS. Azure. GCP. Kubernetes clusters. Serverless functions. Databases sc…  ( 15 min )

Whether you’re building a frontend interface, automating tasks, or just exploring how AI can ease your workflow — Gemini CLI is worth a look. For many frontend developers, most of our day is spent in the browser, code editor, or terminal. Gemini CLI is that it brings a powerful AI assistant directly into your command line — where we already live most of the time. 💡 Google describes Gemini CLI as “an open-source AI agent that brings the power of Gemini directly into your terminal.” It’s not just another chatbot — it understands your code, helps debug and generate, and even connects to custom tools. Here are a few reasons why this tool was created: 🧠 Developers spend tons of time in terminals and IDEs. Bringing AI there means less context switching. 🧩 Generative AI should be part of workf…  ( 8 min )

Yesterday I was four espresso shots deep, squinting at yet another Spreadsheet-From-Hell comparing Node, Deno, and Bun. Columns everywhere: "hello-world rps", "RAM on a Raspberry Pi", someone even measured lines of output when you mistype a flag. That was the moment I realised — we’re obsessing over the wrong stats. So let’s talk about a better way to choose a JavaScript runtime in 2025 without the cargo-cult benchmarking ritual. Think of this as a runtime buyers-guide for your brain. Instead of arguing about whose "hello world" runs in fewer nanoseconds, we’ll judge runtimes the way we judge code reviews: Does it run fast when it matters? Performance (speed, memory, cold starts, WASM chops) The Runtime Line-Up (In Plain English) Node.js – the OG, still powering 97 % of Fortune 100, recent…  ( 9 min )

"Every mistake is a portal to discovery." — James Joyce When machines dream, they don’t dream of electric sheep — they dream of glitches, dogs in clouds, and faces that melt like memories. Welcome to the world where neural networks break the rules — and in doing so, create art. This is not your typical “AI art” post. This is about the accidental beauty that happens when machine learning models go off-script — when failure, noise, and chaos turn into something strangely human: aesthetic expression. In 2015, a Google engineer named Alexander Mordvintsev unleashed DeepDream — a vision tool meant to help researchers understand how neural networks perceive images. It was supposed to visualize patterns inside a convolutional neural network (CNN). Instead, it birthed a new art movement. By run…  ( 9 min )

Modern applications generate a lot of data mostly stored in ACID compliant OLTP storage systems like Postgres, Mysql, SQLite etc. Once collected, this data needs to be queried and processed for analytics or any other purposes to get meaningful insights for business decision-making. The data to be queried could be stored in different databases and in order to access all the data you would need to run queries on multiple different databases. This is less efficient and adds extra complexity to the system. One simple solution would be to use a central OLTP database, for collating all the data and handling all your analytical queries from it. It can be another Postgres instance acting as a data warehouse. This solution works but has a few issues such as hard requirements on the shape the data(…  ( 14 min )

Every time Ruby developers start talking about # frozen_string_literal: true, someone inevitably brings up symbols. It happens so often it’s almost a ritual. Many people assume symbols are just frozen strings wearing a different outfit; but that’s not actually true. Let’s unpack why this confusion exists and what really sets them apart. A Symbol in Ruby is an immutable identifier. symbol table, and every reference to it points to the same object: :status.object_id == :status.object_id # => true Ruby uses symbols internally for method names, constants, and hash keys. identity, not text. If you think of them as labels "fast to compare, cheap to store" you’ll use them correctly. A frozen string is still a String object, just one you can’t modify: s = "ready".freeze s FrozenE…  ( 7 min )

AI is everywhere these days, and it looks like our web browsers will be the new battlefield. What we are witnessing in the world of web development and browsing is, at least, an interesting time. What was once a browser and some useful extras is quickly becoming something much deeper, and I guess you could call it a fully native AI ecosystem. Browsers are no longer just about display and navigation; nope, they are being reimagined as aides, collaborators, and even productivity powerhouses. I have been playing around with some of the new AI browsers, and I have pretty much settled on one as my primary (for now). I used to browse on Brave Browser, but now I mostly use Comet by Perplexity AI. I’m also testing out ChatGPT Atlas, and others such as Zen Browser and Dia Browser. In this article, …  ( 11 min )

Yet when it comes to trading, many of us fall back on spreadsheets, gut feelings, and fragmented notes. I was no different—until I discovered Scope360, a trading journal app that brings engineering discipline to market analysis. The Problem: Trading Without Data is Like Debugging Without Logs Think about debugging a production issue without proper logging and monitoring. You're essentially making educated guesses about what went wrong. This was exactly my experience with trading: Disconnected Excel spreadsheets with inconsistent data Random notes scattered across different apps No systematic way to measure strategy performance Emotional decision-making without objective feedback I needed a solution that would treat trading analysis with the same rigor we apply to software development. Wh…  ( 7 min )

When Microsoft announced Windows Recall, it quickly became one of the most talked-about features in the tech world promising to help users “recall anything they’ve seen” on their computer. But with that promise came a wave of privacy concerns. While Microsoft Recall focuses on productivity through AI-powered screen capture, Recall Assist takes a completely different approach offering the same “digital memory” concept but with privacy and local first design at its core. In this article, we’ll break down the privacy differences between Microsoft Recall and Recall Assist, and help you decide which approach better fits your values. Microsoft Recall is an AI feature introduced in Windows 11 Copilot+ PCs that automatically captures screenshots every few seconds and stores them locally on your de…  ( 8 min )

Is Otter.ai uploading your confidential meeting data to the cloud? For enterprise teams handling sensitive information, healthcare organizations bound by HIPAA, or European companies navigating GDPR compliance, this isn't just a privacy concern—it's a business liability. According to IBM's 2024 Cost of a Data Breach Report, the global average cost of a data breach reached $4.88 million. Yet teams still need AI-powered meeting intelligence. Enter Meetily: a privacy-first alternative that delivers Otter.ai's capabilities without compromising your data security. TL;DR: ✅ Meetily: 100% local processing vs Otter.ai's cloud-only approach ✅ Complete data sovereignty: your data never leaves your device ✅ Dual transcription engines: Whisper (state-of-the-art accuracy) or Parakeet (optimized for spe…  ( 12 min )

Analyzing why people like funk || Marvel vs Capcom 2 8-bit Music Theory’s latest video was meant to spotlight the Marvel vs Capcom 2 soundtrack but happily veers into what makes funk and jazz so irresistible. You get a chill breakdown of groove basics—Funk/Jazz vs Rock, syncopated rhythms, thundering basslines and those essential solos—complete with handy timestamps. Plus, if you want to dive deeper or just show some love, they’ve dropped links to their Patreon, merch shop, Discord and Twitter so you can join the party. Watch on YouTube  ( 6 min )

Earlier we talked about what functions are, how their syntax looks like and how they work, now let us dive a level deeper into it. The functions in java are "call by value", which means that the value that we provide as argument is not directly given to the function but a copy of its value is given. Lets understand it by example of swap function: System.out.println("a = " + a + "b = " + b); in the main function instead, the code would show different behaviour, i.e. its original value would be displayed. Because what we sent in the function was a copy of actual variables and their scope lies inside the function only. So if we wrote the print statement outside the swap function the original value would be printed and not what we did to their copy  ( 6 min )

If you’ve ever chained .then() calls, mapped over an array, or used async/await, congratulations, you’ve already used a monad. You just didn’t call it that. Most explanations start with abstract math: endofunctors, morphisms, category theory. Let’s skip that. A monad is a pattern for sequencing transformations safely, a way to handle “and then…” without breaking everything when something goes wrong. With tools like effect-ts gaining traction and Rust patterns bleeding into JS, understanding monads is becoming less academic and more practical. Let’s start with something you already know. const getUser = (id) => fetch(`/api/users/${id}`).then(res => res.json()); getUser("123") .then(user => fetch(`/api/orders/${user.id}`)) .then(res => res.json()) .then(console.log); Each .then() t…  ( 8 min )

Containerizing a full-stack application can be challenging—especially when you want to keep builds efficient, secure, and optimized for production. In this guide, we’ll walk through how to dockerize a Spring Boot backend, Angular frontend, and MySQL database using multi-stage Docker builds and Docker Compose. 🧠 Why Multi-Stage Docker Builds? Traditional Docker builds bundle everything—including build tools and dev dependencies—into the final image. This results in: ❌ Large image sizes Multi-Stage Builds solve these issues by: ✅ Separating build and runtime environments We use a two-stage Dockerfile: # Build stage FROM node:lts-slim AS build WORKDIR /src COPY package*.json ./ RUN npm ci COPY . ./ RUN npm run build -- --configuration=production --output-path=dist # Produc…  ( 7 min )

Introduction Most backend developers eventually reach a point where they realize: learning another framework won’t meaningfully move them up to senior level. You can know Spring, Quarkus, Node, Nest, Django, whatever – and still not actually understand the deeper architectural forces that make large scale systems reliable. That’s where “Designing Data-Intensive Applications” (DDIA) hits like a hammer. This book doesn’t care about trends or hype. It forces you to understand the realities behind storage engines, distributed systems, data pipelines, fault tolerance, replication, consistency, and durability. And when you get this – you start thinking like a system designer, not just a code implementer. This is a review, but also a recommendation: if you want to level up from mid-level to senio…  ( 8 min )

Introduction Continuous Integration and Continuous Delivery (CI/CD) have transformed software development from a manual, error-prone process into an automated, reliable pipeline. Teams that master CI/CD practices can deploy code multiple times per day with confidence, dramatically reducing time-to-market while improving quality. However, implementing CI/CD isn't just about choosing the right tools—it's about establishing the right practices, culture, and workflows. In this guide, we'll explore battle-tested best practices that will help your team build robust, efficient CI/CD pipelines. The first principle of effective CI/CD is simple yet powerful: everything should be in version control. This includes: Application Code: Obviously, but worth stating Infrastructure Code: Terraform, Cl…  ( 10 min )

Introduction Managing cloud infrastructure through point-and-click consoles was acceptable when we had a handful of servers. But in today's world of microservices, multi-cloud deployments, and rapid scaling, manual infrastructure management is a recipe for disaster. Enter Infrastructure as Code (IaC)—and more specifically, Terraform. Infrastructure as Code treats your infrastructure configuration like software code: versioned, tested, and automated. Terraform, created by HashiCorp, has become the industry standard for IaC, supporting virtually every cloud provider and service. In this guide, we'll explore why Terraform matters and how to leverage it effectively. Before understanding Terraform's value, let's examine the problems it solves: When infrastructure is managed manually, the actu…  ( 11 min )

Introduction In my previous articles, I've built a complete GNSS positioning engine. But for robust autonomous navigation, we need more than satellites... We need an Inertial Measurement Unit (IMU) that works when GNSS signals drop. However, testing fusion algorithms with real hardware is expensive and slow. So the best solution is to build a high-fidelity IMU simulator. This article is the process of how to implement an IMU simulator from first principles, breaking down the problem into four logical levels of increasing complexity. An IMU doesn't measure what you might intuitively think. Understanding this distinction is crucial for anyone working with inertial systems. At its core, an IMU contains two fundamental sensors: Accelerometers: Measure specific force (all reaction forces exce…  ( 11 min )

PS C:\Windows\system32> Get-WindowsFeature -Name NET-Framework* | Format-Table Name, DisplayName, InstallState  ( 5 min )

TL;DR CinemaSins takes a no-holds-barred look at Nicolas Cage’s wild antics in Longlegs (yes, those legs are absurdly long) while giving a nod to Osgood Perkins’ upcoming horror flick, Keeper. They also drop their Linktree for the latest updates, invite you to fill out a quick poll and support them on Patreon, and share all their social hubs—Discord, Reddit, Instagram, TikTok and more—to keep the CinemaSins fun rolling. Watch on YouTube  ( 6 min )

You know that nagging feeling when your clinic’s front desk is drowning in spreadsheets, a doctor can’t access a patient’s full history, and you’re still chasing appointment no-shows like it’s 2005? Welcome to the real pain of modern healthcare operations. Every missed call, lost record, or ignored follow-up is not just an efficiency failure — it’s a trust failure. In an era where patients expect the convenience, personalization, and speed they get from their favorite apps — the boxy “Rob your data & we’ll call you later” model just doesn’t cut it. That’s where a well-implemented CRM tailored to healthcare interrupts the chaos and turns relationships into care. Customer Relationship Management (CRM) system, originally crafted for sales and marketing — now refashioned for care delivery. In …  ( 8 min )

Welcome to Day 25 of the #80DaysOfChallenges journey! This beginner challenge dives into building a coin flip guessing game, where the program picks randomly, takes user input, and checks for a match. It's an engaging intro to interactivity, blending random module usage, input handling, and conditionals, perfect for adding user engagement to scripts. If you're exploring Python's basics or want a fun way to practice decisions, this "Python coin flip game" guide walks through creating a responsive, replayable mini-game with just a few lines. This task assembles a function that simulates a coin toss, prompts for a guess, and delivers feedback based on the outcome. It's a straightforward example of user-driven code: generate randomness, process input, compare results. We'll cover the fundament…  ( 10 min )

“From black box to glass brain how Program-Aided Language Models are making AI accountable, explainable, and humanly intelligent.” TL;DR Most AI models guess; Program-Aided Language Models (PALs) reason. Instead of spitting out text, they write and execute code to solve problems showing every logical step along the way. This makes AI transparent, accurate, and explainable a shift from black-box intuition to glass-box reasoning. Using LangChain and Gemini, we can build a simple PAL that turns a natural question into Python code, runs it through an interpreter, and produces a verifiable answer. PALs are the bridge between language and logic, neural and symbolic, creativity and computation. They represent the future of AI that doesn't just answer it shows its work. We've all seen it an AI…  ( 15 min )

Null-pointer exceptions are a common error in Java, causing inconvenience for many developers. Preventing null pointer exceptions in advance is important, but for developers who want to focus solely on logic, handling them can be tedious. Moreover, it’s not always easy to account for every scenario. Typically, static analysis tools are used to detect potential null pointer issues, but developers still have to find and fix the code themselves. JPlus reduces that burden. Let’s write null-safe Java code with JPlus. https://github.com/nieuwmijnleven/JPlus Open IntelliJ Go to File > Settings > Plugin > ⚙️ > Install Plugin from Disk Select the downloaded intellij-plugin-0.1-mvp-alpha.zip Restart IntelliJ Go to File > New > Project from Version Control Enter https://github.com/nieuwmijnleven/…  ( 9 min )

Pros Comprehensive eCommerce features Lots of apps for customization Cons Monthly fees can add up quickly Some learning curve due to complexity Payment Options: Both offer various payment gateways; however, Shopify's integrations feel more robust overall. Let me tell you, diving into eCommerce isn't just about choosing an online store builder. It’s a rollercoaster ride. When I first launched my online business, I was overwhelmed by the options. Wix or Shopify? Which one should I invest my time and money in?  ( 6 min )

Picture this: You're scrolling through Netflix late at night, and suddenly, it suggests that quirky indie film you've been dying to watch. Or maybe you're at the airport, and the facial recognition scanner waves you through without a hitch. These moments feel magical, right? But behind them, there's no wizard, just layers of code mimicking the human brain. That's the world of neural networks, these incredible systems that power so much of what we call artificial intelligence today. I remember the first time I really grasped how they work. It was during a road trip with friends, and we got into this debate about self-driving cars. One buddy swore they'd never trust a machine to navigate traffic. I pulled up my phone and showed him how Tesla's Autopilot uses neural networks to "see" the road…  ( 12 min )

Depuis la création du Bitcoin, la blockchain a évolué bien au-delà du simple concept de monnaie numérique. Aujourd’hui, les développeurs, investisseurs et entrepreneurs s’appuient sur des technologies plus rapides, plus écologiques et plus interactives pour construire le Web3. Grâce à des plateformes accessibles comme MoonPay, il est désormais possible d’acheter, vendre ou échanger facilement des cryptomonnaies comme Solana, Ethereum ou Polygon, et d’expérimenter les innovations de ce nouvel écosystème sans barrière technique. Voici 7 technologies clés qui transforment le monde de la crypto et du développement blockchain. 1. Le Proof-of-Stake (PoS) : une révolution énergétique Le Proof-of-Stake remplace progressivement le Proof-of-Work du Bitcoin. Des blockchains comme Solana, Cardano ou P…  ( 9 min )

We’re happy to announce that the (future) best web-based development environment is finally entering public beta! This is a huge step for us here at RestlessDev as it’s our first Software as a Service product, and the culmination of two plus years of work. To celebrate the occasion we’ve launched a new website to help explain our vision and what sets us apart. Please check it out! At this point, all major features of the application should be working, although there may be some specific parts that may not have been hit on as much during the private beta. With that in mind, we’re offering enhanced support for anyone joining during the public beta period.  Once you sign up we’ll reach out personally to help walk you through the signup process and make sure RestlessIDE meets your needs. It’s …  ( 8 min )

The idea behind this series is to create a test automation template following industry best practices. I want to share the evolution of an automation project, exploring the full potential that Playwright and TypeScript offer. In the world of test automation, the search for efficient tools and well-structured frameworks is constant. It is with this spirit that we begin this series of articles, where we will build together, step by step, a robust automation project harnessing the power of Playwright with TypeScript. Our test playground will be the OrangeHRM website, a comprehensive human resources management platform that will provide us with a variety of scenarios to explore. To ensure our code is organized, reusable, and scalable, we will adopt the Component Page Object Model (CPOM) desig…  ( 9 min )

When we build websites or applications, not every task needs to run instantly or be triggered by a user. Some tasks must happen automatically in the background—daily, hourly, or at a specific time. This is where Cron Jobs come into play. A Cron Job is a scheduled task that runs on a server at defined intervals. It helps automate repetitive or time-based actions without manual intervention. Cron is available on Unix/Linux systems and is widely used in web development, especially in PHP, Laravel, WordPress, and other backend environments. Cron Jobs play a major role in application automation, maintenance, and performance optimization. Here’s why they are essential: Imagine manually triggering daily reports or clearing temporary files every hour. With a Cron Job, you can schedule it once and …  ( 7 min )

Build a fullstack Notes app with Cursor, Appwrite, and TanStack Start Developers are entering a new era where AI can understand context and build with you. AI-powered editors like Cursor blur the line between development and automation, while Appwrite provides the unified backend that turns those AI-generated ideas into production-ready applications. Together, they represent the next leap forward, where AI helps you go from idea → API → local app in minutes. I chose to use Cursor as it's my favorite coding agent. We all have our favorite, and I'll definitely keep building with Cursor as it's just more user friendly. In this tutorial, you’ll: Connect Cursor to Appwrite using MCP Build a TanStack Start app with authentication and CRUD Run it locally MCP (Model Context Protocol) lets AI t…  ( 11 min )

This article presents a concise, academic, and practical step-by-step procedure to convert an existing static website (HTML, CSS, JavaScript) into a React application scaffolded with Vite. The goal is to provide a reproducible pathway that emphasizes conceptual clarity and pragmatic code transformations. Each step includes precise actions and example code snippets intended to be executed directly in a typical development environment. Node.js and npm (or Yarn) installed. Basic familiarity with HTML, CSS, and vanilla JavaScript. A working copy of the original static site (HTML files, CSS, JS, and assets). Create a new Vite React project in a fresh directory. # Using npm npm create vite@latest my-react-site -- --template react # Or using Yarn yarn create vite my-react-site --template re…  ( 11 min )

Building a P2P Rental Marketplace: Full-Stack Architecture with Flutter & Express.js The Challenge: Building Trust Between Strangers Peer-to-peer rental marketplaces face a unique problem: How do you convince someone to lend their $2,000 camera to a complete stranger? Traditional approaches rely on insurance and customer service teams, but that doesn't scale for a startup. For RentFox, a P2P rental platform connecting people who need items with those willing to lend them, we needed to architect trust into the product itself. This meant solving: ❌ Damage disputes ("You broke my drone!" vs "It was already broken!") ❌ Payment fraud (renters disappearing with items) ❌ Low accountability (anonymous users ghosting) ❌ Verification overhead (manual ID checks don't scale) Our solution?…  ( 13 min )

I've got to admit, when I first heard about the UPS plane crash near Louisville Airport, my heart sank. Not just because it was tragic, but also because it hit so close to home—figuratively and literally. As a developer who spends a good chunk of time thinking about logistics and automation (thanks to some side projects with machine learning), I can't help but feel a connection to the systems that keep our world running smoothly. When I think about the implications of such events, I start to question the robustness of our current systems. Ever wondered why we rely so heavily on air freight? It’s not just about speed; it’s about precision and reliability. But what happens when that reliability is compromised? Let’s unpack this a bit. First off, let’s talk about the facts. A UPS cargo plane…  ( 9 min )

How changing your definition of work helps you lead with more impact and less burnout. Most people don’t burn out because they take on too much. They burn out because they hold onto the wrong kind of work.. I see this pattern every day in technical founders, consultants, and new managers. They try to scale their effort instead of scaling their leverage. That’s what keeps them stuck. Becoming a leader begins when you stop doing everything yourself. The goal is to create more value from the work you choose to keep. Here’s where to start. Stop Measuring Your Value by Tasks Completed When I first led a team, I judged myself by how many boxes I checked off a list. If I cleared the backlog, I felt productive. But all too often those days ended with no real progress. I was still working like an i…  ( 8 min )

OpenAI recently launched ChatGPT Atlas, a fork of Chromium with Agentic capabilities. The UI is clean, rebuilt with SwiftUI, AppKit and Metal, but take that away and it’s the same capabilities, you can already access on ChatGPT’s website. Is it really that hard to get agentic capabilities in your browser? Do you really need another browser for it? Turns out, no, a Chrome extension can do more than solve your problem. I spent my weekend building one, and here’s how you can make it too. Here’s the demo: Here’s the code for the project: https://github.com/ComposioHQ/open-chatgpt-atlas Before diving into the build, let me explain why a Chrome extension is the right approach. The first question I had to answer was: Can a Chrome extension do what an AI browser can do? The answer is yes, and …  ( 17 min )

Behind every successful business decision lies one essential element — data. But success does not depend on how much data you collect; it depends on how you design, store, and use it. A database is not just a technical component — it is the heartbeat of your digital ecosystem. When designed with clarity and purpose, it does far more than hold information. It enables smarter decisions, drives innovation, and gives your business the agility to move forward with confidence. Every great database begins long before you create the first table or write a single line of SQL. It starts with understanding the business — how it operates, what challenges it faces, and what goals it aims to achieve. A thoughtfully designed database reflects this understanding. It mirrors how the organization works and …  ( 8 min )

Emily King’s Tiny Desk performance feels like a warm embrace: her smooth, soulful voice shines on gut-wrenching breakup tunes like “Georgia” and “Down,” while her killer band members chime in with dreamy harmonies and surprise solos. Between songs she’s genuinely excited, bantering about years of collaborations with Jeremy Most and sharing how her music is a self-lift whenever she’s feeling low. She rolls through a tight five-song set, from the reflective “Distance” to the new-year pep-rally jam “This Year” and the celebratory “Special Occasion,” reminding us that life’s best moments are sweeter when you share them. It’s the kind of intimate, joyful session that makes you feel part of the celebration—and hungry for more. Watch on YouTube  ( 6 min )

What if Java had Symmetric Converter Methods on Collection? (5 min)👝 https://donraab.medium.com/what-if-java-had-symmetric-converter-methods-on-collection-cbb824885c3f Filtering Exceptions via try (7 min)🌪️ https://www.javaspecialists.eu/archive/Issue329-Filtering-Exceptions-via-try.html Fluent Visitors: revisiting a classic design pattern (5 min)👋 https://neilmadden.blog/2025/11/04/fluent-visitors-revisiting-a-classic-design-pattern/ Choosing a dependency (7 min)🔗 https://blog.frankel.ch/choosing-dependency/ Create Self-Improving AI Agents Using Spring AI Recursive Advisors (5 min)📈 https://spring.io/blog/2025/11/04/spring-ai-recursive-advisors "You Don't Need Kafka, Just Use Postgres" Considered Harmful (12 min)🚫 https://www.morling.dev/blog/you-dont-need-kafka-just-use-postgres-considered-harmful/ Fray: General-Purpose Concurrency Testing (1 min)🧵 https://github.com/cmu-pasta/fray Finding Order in the Mayhem: A Novel Concurrency Testing Tool that Improved the Kotlin Compiler (8 min)🔀 https://blog.jetbrains.com/research/2025/10/litmuskt-concurrency-testing/ Stop Bugs Before They Happen: Compile-Time Guardrails with Kotlin Context Parameters (7 min)💂‍♂️ https://blog.kotlin-academy.com/stop-bugs-before-they-happen-compile-time-guardrails-with-kotlin-context-parameters-6696fb54c1e8 Everything you know about last week's AWS outage is wrong (4 min)⚠️ https://www.theregister.com/2025/10/27/aws_outage_myths_reality/ Why didn't ngrok go down in last week's AWS outage? (3 min)🔌 https://ngrok.com/blog/dont-use-us-east-1 IT Trends to Watch in 2026 (8 min)👀 https://softwaremill.com/it-trends-to-watch-in-2026/ What is USSD (and who cares)? (5 min)📶 https://www.allthingsdistributed.com/2025/10/what-is-ussd-and-who-cares.html  ( 17 min )

I've recently started using vim as my editor, (now vim key bindings on vscode.) For newcomers, learning vim motions might take some time, so I've created a snake game for mastering vim motions. Here's the link : https://vim-snake-navy.vercel.app Muhammed Sabith ・ Nov 5  ( 6 min )

vim-snake-navy.vercel.app  ( 6 min )

TL;DR Discover four game-changing ChatGPT tricks to turbocharge your workflow: Prompt Reversal helps you reverse-engineer top-performing prompts. 5-Minute Amplifier spins one piece of content into multiple formats in no time. Red Team Technique uses AI to critique and toughen its own output. Blueprint Scaffolding forces ChatGPT to lay out its reasoning before executing. Each method comes with real examples you can apply immediately—cut your prompt-refinement grind in half, regardless of your industry! Watch on YouTube  ( 6 min )

Only 6% of people finish free coding courses. I know because I've watched thousands try and quit on Algocademy's free lessons. But something weird happens when people pay: suddenly 43.7% finish. That's not just better. That's a completely different person. People who pay to learn coding are seven times more likely to actually finish than those who use free resources. I know what you're thinking. "Of course people who pay finish more often. They have skin in the game." And you're right, but the numbers tell a more interesting story than simple financial commitment. At Algocademy, we give everyone access to 17 consecutive free lessons. These aren't throwaway intro slides. They're real, interactive coding lessons where you write actual code. But only 6% of people who start these free lessons …  ( 10 min )

TL;DR Cinema Sins just dropped “Everything Wrong With Longlegs In 24 Minutes Or Less,” poking fun at Nicolas Cage’s delightfully over-the-top turn in Longlegs (yes, those legs are ridiculously long). With Osgood Perkins’ new film Keeper on the horizon, they figured it was the perfect time for a cinematic roast. Want more sins? Hit up their website or linktr.ee for all the channels, smash that poll to tell them what you think, and consider supporting their tiny but mighty team on Patreon. You can also join the conversation on Discord, Reddit, Instagram, TikTok—and don’t forget their other YouTube spinoffs like TVSins and CommercialSins! Watch on YouTube  ( 6 min )

Everything Wrong With Sinners In 15 Minutes Or Less is the latest CinemaSins deep-dive, playfully “sinning” what they call one of the year’s best genre films. Expect their trademark snark, callbacks to previous sins, and a Halloween-ready vibe as they highlight (and poke fun at) every little cinematic quirk. Along the way they plug their main site, YouTube channels (TVSins, CommercialSins, CinemaSins Podcast Network), social feeds, Patreon, a short poll to get your feedback, and community hubs on Discord and Reddit—basically everywhere you could want more movie-critiquing antics. Watch on YouTube  ( 6 min )

Predator 2 trades Schwarzenegger and the jungle for Danny Glover as a tough-as-nails cop in a sweltering, crime-plagued Los Angeles. Released in 1990, this sequel ditches some familiar beats but cranks up the action with a deadlier Predator and a surprise turn from Gary Busey. If you’re cool with a fresh setting and a different vibe, Predator 2 is a fun, pulpy ride that proves the franchise can survive—and even thrive—outside the jungle. Watch on YouTube  ( 6 min )

Cómo construí la animación del logo de Quo.js con un Engine fuera de React, suscripciones atómicas dentro de React, y casi cero código repetitivo. TL;DR: Convertí un PNG estático del logo de Quo.js en cientos de círculos SVG animados que se ensamblan, se dispersan alrededor del mouse, y regresan suavemente a casa — todo en React 19 + TypeScript usando @quojs/core@0.2.0 y @quojs/react@0.2.0. El truco es ejecutar un pequeño Engine completamente fuera de React, transmitir actualizaciones de estado en lotes a un store de Quo.js, y luego renderizar con suscripciones atómicas en React para que la UI solo se re-renderice cuando las coordenadas de un círculo específico realmente cambien. Tech: React 19, TypeScript, Vite, SVG State: @quojs/core y @quojs/react Lo que NO se usa: three.js, WebGL, WebG…  ( 12 min )

How I built the Quo.js logo animation with an Engine outside React, atomic subscriptions inside React, and almost zero boilerplate. TL;DR: I turned a static PNG of Quo.js logo into hundreds of animated SVG circles that assemble, disperse around the mouse, and glide home — all in React 19 + TypeScript using @quojs/core@0.2.0 and @quojs/react@0.2.0. The trick is running a small Engine completely outside React, streaming batched state updates into a Quo.js store, and then rendering with atomic subscriptions in React so the UI only re-renders when a specific circle’s coordinates actually change. Tech: React 19, TypeScript, Vite, SVG State: @quojs/core@0.2.0 and [@quojs/react@0.2.0](https://github.com/quojs/quojs/blob/main/packages/react/README.md_**What’s not used**: three.js, WebGL, WebGP…  ( 11 min )

Defaults, validators, and signatures look like harmless code—but they quietly decide who holds power inside every AI system. When people discuss AI governance, they imagine committees, ethical frameworks, or international regulations designed to keep technology under control. They picture debates about transparency, accountability, and the moral boundaries of automation. Yet few realize that actual authority often lives in a far quieter place: a small file written in JSON, hidden deep inside an API call. That file, the function-calling schema, determines what the model can and cannot do. It specifies which parameters must be included, which values are valid, and what happens when the operator leaves something blank. The study Function-Calling Schemas as De Facto Governance: Measuring Agency Reallocation through a Compiled Rule introduces the Agency Reallocation Index (ARI), a quantitative method that measures how schemas redistribute control among the operator (human intent), the model (synthetic reasoning), and the tool (external system). In healthcare, a validator that enforces "age ≥ 18" silently excludes minors from automatic triage. Every validator is a clause, every default is a precedent. The schema is not after the decision; it is the decision. Full paper (Zenodo): https://zenodo.org/records/17533080 Executable Power: Syntax as Infrastructure in Predictive Societies -  https://doi.org/10.5281/zenodo.15754714 AI and Syntactic Sovereignty -  https://doi.org/10.2139/ssrn.5276879 The Grammar of Objectivity -  *https://doi.org/10.2139/ssrn.5319520 Author website: https://www.agustinvstartari.com  SSRN Author Page: https://papers.ssrn.com/sol3/cf_dev/AbsByAuth.cfm?per_id=7639915  Series: AI & Power Discourse Quarterly (ISSN 3080–9789) I do not use artificial intelligence to write what I do not know.  I use it to challenge what I know.  I write to reclaim the voice in an age of automated neutrality.  My work is not outsourced. It is authored.- Agustin V. Startari  ( 9 min )

The Web3 development space is evolving rapidly. From improved scalability to advanced cryptography, developers are building a decentralized internet that’s faster, safer, and more inclusive. As infrastructure improves, platforms like MoonPay are making it easier for new users and developers alike to access blockchain ecosystems, especially those like Solana that emphasize performance and low fees. This synergy between accessibility and innovation is accelerating adoption across projects. Here are six major trends defining the future of Web3 development: 1. Layer-2 Scaling Solutions: 2. Interoperability Protocols: 3. Zero-Knowledge Proofs (ZKPs): 4. Decentralized Storage and Compute: 5. Smart Contract Security Automation: 6. Cross-Chain Development Tooling: The Web3 developer ecosystem is no longer experimental it’s becoming foundational. Those who master these tools early will shape the digital infrastructure of the future internet.  ( 6 min )

Everyone loves declaring jQuery dead. ~78% of the top 1M sites (W3Techs) and hundreds of millions of websites total. So maybe the real question isn’t “why is jQuery still alive?” Why do we expect old code to disappear just because we found a cooler way to write new code? After a five-year break, I’m returning to the conference stage. On November 19th, I’ll be speaking at JS Poland about practical strategies for migrating legacy frontend systems to modern architectures. To lead up to the talk, I’m publishing a short series of articles on legacy code, refactoring, and incremental migrations — this is the first one in the series. If you’ll be there, feel free to say hi — I’m always up for a good legacy-code war story 🛠️. installed. jQuery isn’t winning the frontend race. COBOL in finance …  ( 9 min )

A multithreaded, identity-rotating, resilient file fetcher built for covert red team reconnaissance and data exfiltration over Tor. 🔥 Written with OPSEC in mind • By toxy4ny • For Hackers Who Like To Stay Unseen When you're operating in hostile environments—whether during internal pentests, adversary simulations, or covert intel gathering—you can't afford to leave traces. Every HTTP request is a potential fingerprint. Every static IP is a liability. Enter KAPLAN (tdd): a Python utility engineered for red teams who need to download sensitive documents, dumps, configs, or artifacts—anonymously, resiliently, and without revealing their true origin. Unlike generic downloaders, tdd: Routes all traffic over Tor using SOCKS5. Rotates Tor circuits before every download to avoid linkability. Hand…  ( 8 min )

Just put my hands on “mellea”, open-source from IBM for generative programming. Open source AI models are losing to ChatGPT because they lack the polished infrastructure that makes closed platforms easy to use. IBM’s new library, Mellea, aims to fix that. mellea is a library for writing generative programs 👍. Excerpt of mellea’s documentation; This project takes us back to the future of computing by formally introducing the concept of generative programs — software systems that strategically integrate calls to Large Language Models (LLMs) — and the demanding engineering required to make them reliable. The fundamental challenge we address is how to safely and predictably harness the powerful but inherently stochastic operations of LLMs within traditionally deterministic codebases. This do…  ( 13 min )

My 2025 Developer Tech Stack: From Code to Docs Emmanuel Mumba ・ Nov 5 #webdev #ai #programming #javascript  ( 5 min )

My 2025 Developer Tech Stack: From Code to Docs Emmanuel Mumba ・ Nov 5 #webdev #ai #programming #javascript  ( 5 min )

My 2025 Developer Tech Stack: From Code to Docs Emmanuel Mumba ・ Nov 5 #webdev #ai #programming #javascript  ( 5 min )

This Article provides a streamlined approach to automate Docker image tagging using versioning strategies. It supports two main versioning approaches: Semantic Versioning Timestamp-based Versioning Usage in Docker After configuring Semantic/DateTimeStamp versioning, you can use it in docker like the following docker build -t "imagename:$(pyv)" . #build docker image with semantic versioning docker push "username/imagename:$(pyv)" #push docker image created with semantic versioning docker build -t "imagename:$(dtsv)" . #build docker image with TimeStamp based versioning Docker Image Reference Structure 🔹 REGISTRY_HOST:PORT (Optional): Specifies the hostname (and optional port) of the Docker registry. myapp:1.0.0 (semantic version) myapp:2025_10_14_1200 (timestamp-ba…  ( 8 min )

BoolSkel: Unlocking Boolean Network Efficiency Through Structural Pruning Ever felt lost in the weeds of a massive logical circuit or complex regulatory network? Imagine trying to decipher a wiring diagram where redundant connections obscure the core functionality. Many systems, from digital circuits to gene regulatory networks, can be represented as Boolean networks, but their complexity often hinders analysis and optimization. The concept is simple: focus on the critical dependencies within a Boolean network by systematically reducing redundant or homogeneous patterns. We developed a “skeletonization” approach, BoolSkel, that identifies and removes unnecessary elements, revealing the underlying functional structure. Think of it like pruning a tree – removing dead branches to encourage …  ( 7 min )

The Graveyard of Great Ideas Every developer has one — a folder filled with unfinished SaaS projects. Some barely made it past npm init. Others reached “almost ready” before hitting a wall. I used to joke that my GitHub was a cemetery of great intentions. But over time, I realized it wasn’t a joke. It was a pattern. Why do so many developers, even skilled ones, never finish their SaaS? It’s not lack of skill. It’s not even lack of time. It’s a slow leak of momentum — one setup file, one API integration, one bug at a time. When you start a SaaS project, the excitement is electric. You’re designing features, imagining your first user, maybe even sketching a pricing page. Then reality hits. You spend two days wiring authentication. Three more configuring payments. Another week build…  ( 8 min )

Hey everyone 👋 Anwaarul Haque, a Technical Lead and the creator of the Utho Community Plugins — a growing collection of open-source tools designed to make cloud development faster, safer, and developer-friendly. Today, I’m excited to introduce one of our latest releases: @utho-community/object-storage A lightweight Node.js package that simplifies working with object storage services like AWS S3, DigitalOcean Spaces, and others — all through a unified API. 🌩️ Why I Built It Every time I built a SaaS or infrastructure-based project, I found myself re-writing the same boilerplate for uploading, downloading, and deleting files from cloud storage. So I built @utho-community/object-storage to solve this problem once and for all. ⚙️ Installation You can install it directly from npm: npm install…  ( 7 min )

If you are looking to add images to pdf in java you have a couple of options: Insert an image as an annotations Insert an image into the page content stream This article explores the pros and cons of each method and how to perform them in Java. Using annotations to insert images allows for interactivity, which lets users click, move, or delete them. This may or may not be desirable based on your use case. Annotations also provide separation of concerns, which is ideal for markup, comments, or highlights. One of the main caveats with annotations is that they may be ignored by some printers or PDF viewers, resulting in different rendering experiences on different systems. Inserting an image directly into the page content stream allows for greater control and reliability over the output. All…  ( 7 min )

Many students are discovering that their laptops and smartphones can do more than stream or study—they can contribute to real AI workloads and receive rewards for it. Picture this: you’re a student with a decent laptop or phone—something you already use for coursework, projects, or gaming. Now imagine that same device helping run AI workloads for global projects, and in return, you receive NLOV token rewards—a digital acknowledgment for contributing useful compute power. That’s what’s happening through Neurolov’s decentralized compute network, called NeuroSwarm. It’s not about quick profit—it’s about smart participation in an emerging technology field, using resources you already own. 2.1 AI is booming—but compute is the bottleneck AI workloads—from image generation to large-language model…  ( 8 min )

The healthcare industry is undergoing a massive digital transformation, and artificial intelligence (AI) sits at the very core of it. From remote patient monitoring to predictive diagnostics and smart hospital management, AI-powered healthcare applications are reshaping how medical services are delivered, accessed, and managed. AI brings a new era of healthcare innovation. It doesn’t replace doctors—it augments their ability to deliver faster, more accurate, and more personalized medical care. AI systems analyze patient data, identify potential health risks, automate administrative tasks, and support clinical decisions with data-driven insights. • Rising demand for remote and digital healthcare services Improved Diagnostic Accuracy Personalized Treatment Plans Real-Time Patient Monitor…  ( 9 min )

For decades, marketers have sought to understand what truly drives consumer choice — why people prefer one product over another, why certain ads make us feel something, or why a brand becomes part of our identity. Traditional marketing relied on surveys and focus groups, but those methods often only scratched the surface. Today, Artificial Intelligence (AI) and neuro-marketing are unlocking the hidden layers of consumer behavior — revealing not what people say, but what they feel. By analyzing brain activity, biometric signals, and emotional responses, AI-driven neuro-marketing provides data-backed insight into how humans perceive, decide, and connect. It’s the next frontier of marketing psychology — and it’s changing how brands create messages that truly resonate. Neuro-marketing combines…  ( 8 min )

Introduction As a technical blogger who hosts their own blog, one of the most frustrating things is that Google and Bing's crawlers take their own time to crawl and index the latest articles. They mention that they will crawl daily, but often they don't, and new articles don't get indexed instantly. Initially, when I published content on my websites, surajon.dev and easywrite.dev, the articles were visible on the site, but there was a delay before they were indexed by search engines. This can be detrimental, as you might miss out on trending topics, or the page might not get indexed at all. That's where IndexNow comes in. It's a simple protocol that has fundamentally changed my publishing workflow. Instead of waiting for search engines to come to me, I now tell them the instant a new a…  ( 8 min )

Exploring Backend Development with Rust and Go: Insights from Web Developer Travis McCracken As a passionate Web Developer focusing on backend systems, I’ve had the opportunity to experiment extensively with both Rust and Go—two languages that have significantly shaped the way we build scalable, high-performance APIs. Over the years, combining the strengths of these languages has allowed me to develop fast, reliable, and maintainable backend solutions that meet modern application demands. Rust has gained tremendous popularity among backend developers like myself who prioritize safety, concurrency, and performance. Its ownership model and strict compiler checks eliminate common bugs such as null pointer dereferences and data races, enabling the creation of robust servers that can handle hea…  ( 8 min )

As developers, we love to build and automate. So why are so many of us still manually handling the tedious tasks of running a tech blog? We spend hours proofreading, wrestling with keyword research, and manually formatting posts. That’s time that could be spent coding, experimenting with new tech, or working on our actual projects. I decided to apply a developer's mindset to my content workflow: If a task is repetitive, automate it. The result? I reclaimed over 10 hours a week. Here's a breakdown of the types of free AI tools I used to build a content engine. Think of these tools as a linter for your writing. They catch grammatical errors, suggest clearer phrasing, and ensure your tone is consistent. You wouldn't push code without running a linter; don't publish a post without a final check. Top Tool: Grammarly’s free tier is perfect for this. It integrates everywhere and provides real-time feedback. SEO isn't magic; it's a set of technical requirements. Instead of manually checking meta tags, keyword density, and schema markup, you can use a tool to do it for you. Top Tool: If you're on WordPress, a plugin like AIOSEO handles this beautifully. It gives you a simple checklist to follow and automates the creation of XML sitemaps. Writer's block is a real issue, even for technical topics. AI content generators can function as a powerful API for ideas. You provide a keyword (e.g., "React server components"), and it returns a structured outline, common questions, and related topics. This is perfect for creating a content brief. A conceptual workflow might look like this:  ( 7 min )

If you've ever worked on an expanding PHP project, you've undoubtedly experienced the agony of features becoming tangled, logic dispersing among levels, and a once-clean codebase gradually becoming spaghetti. DDD is fundamentally about matching your software to the real-world domain it supports, or the business issue you're trying to solve. Let's first examine the essential elements that make DDD function before getting into the code: Entities are things (such as a user, order, or invoice) that have a distinct identity. Immutable objects that specify properties (such as EmailAddress, Money, or Address) are called value objects. Aggregates are collections of Value Objects and Entities that are handled as a single unit (Order with its OrderItems). Repositories: OrderRepository-style interfac…  ( 9 min )

The Problem Every developer knows the feeling: a pull request sits idle for days, reviewers juggling multiple branches, and small changes creating unexpected regressions. Our Hypothesis If large-language models can reason about text, they should also reason about code as language. Static analysis for structural accuracy LLM-based semantic reasoning for intent and logic QA test signals for coverage gaps Designing the Architecture Data Flow Source events: Each PR triggers a lightweight collector that fetches the diff, metadata, and linked Jira story. Semantic parsing: We tokenize the diff and the story description, then feed them through an NLP model fine-tuned on code+requirement pairs. Context alignment: The model maps code segments to user stories to check whether the implementation align…  ( 8 min )

TL;DR Jeff Su’s video unveils four game-changing ChatGPT hacks that’ve cut his AI workflow in half: Prompt Reversal – reverse-engineer your best prompts. 5-Minute Amplifier – turn one idea into blogs, tweets, emails, you name it. Red Team Technique – get ChatGPT to critique its own output. Blueprint Scaffolding – force it to outline its reasoning before generating the final answer. Each method comes with real-world examples you can try today—no fluff, just instant productivity boosts. Watch on YouTube  ( 6 min )

Intro; The company needs storage for their offices and departments. This content is private to the company and shouldn't be shared without consent. This storage requires high availability if there's a regional outage. The company wants to use this storage to back up the public website storage. Create a storage account for the company private documents. Create a storage account for the internal private company documents In the portal, search for and select Storage accounts. Select + Create. Select the Resource group created in the previous lab Set the Storage account name to private. Add an identifier to the name to ensure the name is unique. Select Review, and then Create the storage account. Wait for the storage account to deploy, and then select Go to resource. This s…  ( 7 min )

Learn full stack web development with a hands-on, free course covering modern tools and best practices: React, Node.js, GraphQL, testing, CI/CD, and more. Project-driven — build real apps from day one Covers frontend + backend + deployment Updated curriculum reflecting current industry trends 🔗 fullstackopen.com  ( 6 min )

Ever ordered food online and wondered how your favorite app knows exactly what you want and delivers it (almost) magically? That’s APIs at work — the invisible messengers between your app and the server. Now, two of the most popular API styles are RESTful API and GraphQL — but which one is better? Let’s dive in (without frying your brain). REST (Representational State Transfer) is like ordering pizza over the phone. You call the restaurant (server), tell them what you want (data), and they deliver it in a nice box (JSON response). Simple and familiar! How it works: You use HTTP methods like GET, POST, PUT, and DELETE. Each resource (like users or products) has its own unique URL. The server decides what data to send back. Example: GET /api/users/1 → returns data for user with ID 1. G…  ( 8 min )

In a more practical sense, AI has come to be seen as an ingredient in the food industry; in fact, it is an unseen chef in the kitchen preparing the necessary ingredients to ensure smooth operations, analyzing conditions, prophecies of disease spread for an entire crop, and managing the traffic route for delivery in one of the busiest cities in the world. The increasing demand for food is putting a strain on the supply chains, farmers, and delivery platforms worldwide. AI in food industry is changing this scene-at least from farm to fork-instead of just ensuring freshness, cutting waste, and making that very journey as smart as possible. Because the smarter food production foundation begins on the farm, artificial intelligence is causing the shift from traditional practices to data-informed…  ( 11 min )

🧠 Introduction In cloud engineering, storage is one of the most essential building blocks. Whether it’s hosting application data, training environments, or prototypes, every department needs flexible and secure storage options that can adapt to their needs. In this exercise, I worked on a hands-on project for an IT department that needed a simple and changeable storage setup for testing and training purposes. The data wasn’t business-critical — meaning backups and recovery weren’t a major concern — but the goal was to prototype different storage scenarios and train new personnel efficiently. To achieve this, I designed a lightweight cloud storage configuration using Microsoft Azure Storage, focusing on three key steps: Establishing a consistent naming convention, Creating a storage acco…  ( 7 min )

CanvasJS enables interactive charts for web apps. Adding a custom context menu on right-click allows quick actions like printing or exporting. In this guide, we'll implement one using a monthly sales column chart demo. It's straightforward and customizable. Context menus boost UX by providing an intuitive, native feel, right-clicking works just like in desktop apps. They also promote efficiency by hiding advanced features until needed, which keeps your charts looking clean and uncluttered. Plus, they're highly flexible, letting you extend them for things like exports, data tweaks, or even dynamic annotations without complicating the interface. To follow along, you'll need a basic grasp of HTML, CSS, and JavaScript, along with the CanvasJS Chart library. To demonstrate, we'll use a basic mu…  ( 8 min )

Many students today are stuck between choosing Software Engineering or Data Science. And honestly, I understand why. For years, Software Engineering was seen as the safe and guaranteed tech career. But in 2025, the world has changed. AI has reshaped the industry, companies have changed what they look for, and the job market is not the same anymore. If you choose based on old advice, you might be preparing for a world that no longer exists. Let’s talk about this in a real and honest way. Most students pick Software Engineering because everyone else is doing it, or because they believe it has more job opportunities. But here’s the reality: the world is full of software graduates now, and competition is tougher than ever. On top of that, AI tools can now write code, build applications, and au…  ( 10 min )

Self-attention is one of the core ideas behind modern Transformer models such as BERT, GPT, and T5. Earlier models like RNNs and LSTMs processed words in order, making it difficult to learn long-range dependencies. Each word in a sentence is transformed into three vectors: Query (Q) – What the word is looking for Key (K) – What information the word exposes Value (V) – The actual information carried by the word The model computes similarity scores between words using dot products of queries and keys. In the sentence: "The cat chased the mouse", When focusing on the word “chased,” it may attend more to “cat” (the subject) and “mouse” (the object) Attention weights tell the model which words are relevant for understanding a given word Instead of one set of Q, K, and V, the model uses multiple heads. Learns long-range relationships easily Can process words in parallel (faster than RNNs) Works well for multilingual and domain-specific language tasks  ( 6 min )

Gemini CLI Best Practices: 10 Pro Tips You're Not Using Vladislav Guzey ・ Nov 5 #gemini #ai #google #programming  ( 6 min )

I’ve been using the Gemini CLI a lot lately for my coding projects. I really like how it helps me work faster right inside my terminal. But when I first started, I didn’t always get the best results. Over time, I’ve learned some simple tricks that make a huge difference. If you use the Gemini CLI, I want to share my top 10 pro tips. If you are ready, then let’s get started. This is a super important step I always do! Before I run the gemini command, I make sure I am already inside my project folder. This helps Gemini get the right view of my code and load the right GEMINI.md file. It saves me time and helps keep other files, which are not part of the project, private. Gemini itself tells you to be specific for the best results, and I agree. Poor prompts often fail because they lack context…  ( 14 min )

Ditch the Database Drama: Why Serverless Databases Are a Game Changer Ever felt like managing a database is like babysitting a grumpy toddler? You have to constantly check on it, feed it resources, and make sure it doesn't throw a tantrum (aka, crash). What if I told you there's a way to significantly reduce that database drama? Enter: Serverless Databases. Let's face it: managing traditional databases can be a real pain. You're responsible for: Provisioning: Guessing how much storage and computing power you'll need before you need it. Guess wrong, and you're either paying for unused resources or dealing with performance bottlenecks. Scaling: Manually adjusting resources as your application's needs change. A sudden surge in traffic can quickly overwhelm your database, leading to …  ( 8 min )

Look Outside just got a big update bringing a bunch of new creepy experiences Title: Look Outside Gets a Big Update with New Creepy Experiences Description: Look Outside, the survival horror RPG that shook me to the core, just got a big update that provides plenty of reasons to dip back into the game if you were looking for any. Update 1.5 brings new crafting recipes, new interactions with people in the apartment building — some familiar, some not — and big changes to the flooded basement area, along with a slew of other tweaks and bug fixes. If you haven't played Look Outside yet, it's a survival horror game with turn-based combat that was released on Steam in March. The game sees the player character Sam trapped in an apartment building for two weeks to ride out some strange, apocalyptic event happening outside. The weirdness, of course, makes its way inside too, and you'll find yourself up against all sorts of body horror monstrosities and trying to figure out who you can trust. What makes Look Outside so special is the art, music, and story that come together to create an all-around masterpiece. I haven't been able to stop yapping about it since I played it for the first time back in April. It's one of those games that's just made to be played over and over. If you haven't picked it up yet, there's no time like the present. With the latest update, Look Outside is even more engaging and immersive than ever before. So why not give it a try and see for yourself? 📌 Based on insights from [source] This article was enhanced for better detail.  ( 7 min )

API testing has evolved from a solo developer activity into a critical team collaboration challenge. Modern development teams need tools that don't just test endpoints—they need platforms that unite designers, developers, QA engineers, and product managers around a shared API workflow. The difference between successful API projects and chaotic ones often comes down to one factor: how well your team collaborates around API development. The right tool transforms scattered workflows into streamlined processes where everyone works from the same source of truth. Before diving into specific tools, let's establish what makes an API testing platform truly team-ready: Real-time collaboration with shared workspaces and live editing Unified documentation that stays synchronized with tests and specifi…  ( 9 min )

Transform Your Sales Research with AI Automation Your pipeline lives or dies by the quality of your prospecting. Manual research cripples momentum - it's slow, error-prone, and, let's face it, soul-sucking. But what if you could spin up a workflow that mines the web for company data, LinkedIn profiles, pricing info, and more with a single click? That's not science fiction. It's what the right AI sales prospecting tool delivers. Here's the story: You're about to assemble a toolkit that turns chaos into clarity. You'll use n8n as your automation backbone - think of it as a robot butler for workflows. SERPAPI becomes your digital detective, scouring Google for prospects while you focus elsewhere. Google Sheets acts as your organized memory - no more lost leads or forgotten notes. And OpenAI p…  ( 13 min )

I’ve compiled a hands-on Python Web Scraping & Data Extraction repository that walks you from beginner to advanced projects. Learn to extract data from websites, interact with APIs, clean and store it, and even visualize it with charts. Check out the full repo here: https://github.com/b5119/python-web-scraping-projects  ( 6 min )

Tracking attendance may sound HR-ish, but in dev teams, especially distributed, hybrid, or remote, it’s a key productivity lever. When you know who’s working when, across what tasks or projects, you can align capacity, reduce blockages, detect time drift, and keep sprints on schedule. Below are five strong tools that dev teams may consider in 2026. What it does TMetric is primarily a time tracking and attendance management software that supports project time, attendance, timesheets, and integrates with many developer tools. For instance, it supports attendance tracking, time off management (PTO), team dashboards, detailed reports, and integrations with dev tooling such as Jira, GitHub, Trello, etc. Why dev teams will like it Built with developers in mind: Task-based with integrations into…  ( 9 min )

Google Chrome is testing a brand-new Split Tabs feature - and it’s a total productivity boost! ⚡ Instead of juggling multiple windows, you can now view two tabs side-by-side in the same window. Perfect for: 🔧 How to try it: Open chrome://flags Search for Split Tabs or Side-by-Side Enable it and restart Chrome Right-click a tab → “Split tab with…” 💡 It’s still experimental, but it already feels like a game-changer for focused workflows. Split Tabs might just be the productivity boost we needed to cut the window chaos. 💫  ( 6 min )

Learn four advanced ChatGPT methods to streamline your AI work: Prompt Reversal for reverse-engineering your best prompts, the 5-Minute Amplifier to spin one idea into blogs, tweets or emails, the Red Team Technique to have the AI poke holes in its own answers, and Blueprint Scaffolding to force it to outline its logic before diving in. Each tactic comes with real examples you can use today, and together they’ve cut my AI workflow time by more than half—no matter your role or industry. Watch on YouTube  ( 6 min )

The surprising truth is that even experienced developers sometimes deliver subpar frontends. It's not because of a lack of skill or effort. The reality is that the frontend landscape is progressing at a pace that many teams struggle to keep up with. By 2026, users will demand speed, clarity, and seamless workflows making these factors crucial for SaaS success. Five modern frameworks are emerging to tackle these challenges. They offer lighter packages, quicker rendering times, and developer experiences designed to simplify rather than complicate. Many teams still design their products with code in mind rather than the end user. Developers focus on: Architecture Animations New libraries Perfect component patterns However, users prioritise: Speed Clear actions Low friction As a result, dashbo…  ( 9 min )

Everything Wrong With Longlegs In 24 Minutes Or Less takes a frantic dive into Nicolas Cage’s over-the-top antics in Longlegs—just in time to hype Osgood Perkins’ upcoming thriller Keeper. Expect snarky calls to sin-count every cinematic misstep and plenty of shout-outs to the CinemaSins crew and their other YouTube channels. On top of the film roast, you’re invited to fill out a “sinful” poll, back the team on Patreon, and join the CinemaSins community via Discord, Reddit, TikTok, Instagram, and more—all neatly linked for your binge-watching pleasure. Watch on YouTube  ( 6 min )

Sector HQ Weekly Digest - November 5, 2025 Who's shipping vs who's shitposting? Here's this week's AI industry intelligence. OpenAI - Score: 392431.5 | 343 events this week Nvidia - Score: 171267.1 | 161 events this week Google - Score: 143360.2 | 125 events this week Microsoft - Score: 132233.7 | 99 events this week Anthropic - Score: 112467.4 | 51 events this week Amazon - Score: 99194.5 | 22 events this week Meta - Score: 93110.7 | 61 events this week Apple - Score: 82264.4 | 94 events this week IBM - Score: 56145.5 | 14 events this week AMD - Score: 49969.0 | 43 events this week ↑ Sony jumped 277 positions to #55 ↑ Stability AI jumped 183 positions to #49 ↑ Bytedance jumped 143 positions to #45 ↑ Scale AI jumped 122 positions to #61 ↑ Palantir jumped 107 positions to #30 No high BS alerts this week Total companies tracked: 100 Total events this week: 1325 Average activity per company: 13.3 events The AI industry continues to evolve rapidly. Companies that ship consistently rise in our rankings, while those focused on hype alone get flagged by our BS detector. Methodology: Our leaderboard tracks real product releases, funding events, partnerships, and market traction - not just PR and social media buzz. Want real-time updates? Check out the live leaderboard at sectorhq.co Track specific companies and get instant alerts when they move in the rankings. Tags AI #ArtificialIntelligence #MachineLearning #TechIndustry #Startups #AILeaderboard  ( 6 min )

Everything Wrong With Sinners In 15 Minutes Or Less CinemaSins is back with a Halloween special, gleefully roasting “one of the greatest genre movies of all time” in under 15 minutes. Expect their trademark sin-counting, witty commentary, and plenty of fun nitpicks as they dive into what makes this flick so delightfully flawed. Alongside the video, they’re plugging all their channels—website, Linktree, poll, Patreon, Discord, Reddit—and even Jeremy’s book. Featuring writers Jeremy, Chris, Aaron, Jonathan, Deneé, Ian, and Daniel, it’s the ultimate guilty pleasure for film nerds. Watch on YouTube  ( 6 min )

TL;DR CinemaSins just dropped “Everything Wrong With Predator: Killer of Killers In 16 Minutes Or Less,” a rapid-fire roast of the new animated Predator flick, counting every hilarious nitpick and facepalm moment. They also hype up their main site and spin-off YouTube channels, invite you to fill out a sinful poll, and ask for Patreon love. The credits roll with writers Jeremy, Chris, Aaron, Jonathan, Deneé, Ian and Daniel, plus links to their Discord, Reddit, book, Instagram and TikTok. Watch on YouTube  ( 6 min )

Introduction In the world of web development, performance is key. When it comes to React applications, optimizing performance is crucial to ensure a smooth user experience. Let's delve into some strategies to boost the performance of your React applications. React's Virtual DOM is a lightweight copy of the actual DOM. By using the Virtual DOM, React can efficiently update the real DOM by only making necessary changes. However, excessive re-rendering can impact performance. Utilize shouldComponentUpdate or PureComponent to prevent unnecessary re-renders. class MyComponent extends React.PureComponent { render() { return {this.props.data} ; } } Break down your application into smaller chunks and load them dynamically when needed. This reduces the initial load time and improves performance. React.lazy and Suspense are great tools for code splitting. const MyLazyComponent = React.lazy(() => import('./MyLazyComponent')); Memoization is a technique to optimize performance by storing the results of expensive function calls and returning the cached result when the same inputs occur again. Use useMemo and useCallback hooks to memoize values and functions. const memoizedValue = React.useMemo(() => computeExpensiveValue(a, b), [a, b]); Identify components that do not need to re-render frequently and optimize them. Use React.memo for functional components to prevent re-renders unless props change. const MyMemoComponent = React.memo(function MyComponent(props) { return {props.data} ; }); Leverage tools like React DevTools and Chrome DevTools to analyze the performance of your React application. Identify bottlenecks and areas for improvement by profiling components and their rendering times. By implementing these performance optimization techniques in your React applications, you can significantly enhance speed and efficiency, providing users with a seamless experience. Stay ahead in the game by prioritizing performance optimization in your development workflow.  ( 8 min )

Excited to share that I’m officially diving into the world of DevSecOps — learning how to build, secure, and automate modern applications from development to deployment. It’s time to explore tools, pipelines, cloud infrastructure, and security best practices that make software faster, safer, and smarter. Let’s see where this journey leads 💪  ( 6 min )

Article 1: The Importance of Choosing the Right Web3 Development Company  ( 6 min )

Tableau Filtering Actions Made Easy: Origins, Real-World Applications, and Case Studies Dipti ・ Nov 5 #webdev #ai #programming #blockchain  ( 6 min )

Part 1: Beyond the Basics - The jQuery Philosophy You've used $(document).ready() and click() events. You've probably even played with animate(). But to truly master jQuery, you need to go beyond the syntax and understand its core philosophy. jQuery isn't just a library; it's a paradigm shift for front-end development. It's about elegance, efficiency, and expressing complex interactions with remarkable conciseness. Think of it this way: raw JavaScript is like crafting a bespoke piece of furniture from scratch – every joint, every nail, every polish. jQuery is like having a master carpenter's workshop at your disposal, with pre-built tools and components that allow you to assemble magnificent creations with minimal effort. The secret? It's all about the DOM manipulation at its heart. Many d…  ( 11 min )

A post by alvaro  ( 5 min )

Learn whether HashMap and ConcurrentHashMap in Java allow null keys or values. Understand why, with examples and best practices for safe coding. Imagine you’re organizing files in labeled folders. But what if one folder doesn’t have a label at all — it’s just blank? Can you still keep it in your cabinet and find it later? That’s the same question developers ask about Java’s HashMap and ConcurrentHashMap — can you use a null key? Understanding how these two popular classes handle null keys and null values is crucial for writing robust and bug-free Java programs. It’s a small detail that often leads to NullPointerExceptions or confusing behavior if misunderstood. In this post, we’ll demystify how HashMap and ConcurrentHashMap treat null keys and values, why they differ, and how you should ha…  ( 9 min )

Java Packages are collections of classes, interfaces, and sub-packages. In Java, with the help of packages, we can group related classes. A package is like a folder inside the file directory. We use packages to avoid name conflicts and write more maintainable code. Packages allow developers to create software that is easier to maintain, scale, and extend by grouping relevant code. In addition to facilitating code reuse across projects and teams, packages also help maintain consistent naming conventions. In Java, a package is a directory that contains Java source code files. The package name corresponds to the directory name, and each Java file contains a class with a matching filename. For example, if your class is in a folder called com/example, and the class name is ClassName, then …  ( 12 min )

Wat je zal leren Wat is de Pod Pending State?. Een pod is de basis eenheid van deployment waar container draait. Normaal gaan pods snel van eerste creatie naar de running state. De levenscyclus van een Pod beschrijft de verschillende fases die een Pod doorloopt van creatie tot einde. Maar soms blijft de Pod vast in de Pending state. Dit betekent dat het Pod API object bestaat, maar de workload draait niet. Dat betekent dat geen van de containers in de pod draait. Dit is omdat de scheduler de pod niet op een node heeft geplaatst. Hier zijn de verschillende oorzaken wanneer de scheduler geen pod kan plannen op een node: 1. Onvoldoende node resources (CPU / memory) Dit is een vaak fout die komt door een hogere pod resource vraag (CPU/Memory) dan een andere beschikbare node in de cl…  ( 9 min )

WTF is this: HashiCorp Nomad Imagine you're trying to manage a big, messy house with a million rooms, each with its own unique decorations and quirks. Now, imagine you have a magic assistant that can help you keep track of everything, make sure each room is running smoothly, and even automatically fix any problems that arise. Sounds like a dream, right? Well, in the world of tech, that magic assistant is kind of like HashiCorp Nomad. But what exactly is it, and why is everyone talking about it? What is HashiCorp Nomad? HashiCorp Nomad is a tool that helps companies manage and deploy applications across different environments, like data centers, clouds, and even edge devices. Think of it like a super-smart, automated "orchestrator" that makes sure all your apps are running correctly, wherev…  ( 11 min )

Building MeridianDB: Solving AI's Memory Crisis with Multi-Dimensional RAG Why I Built This When exploring cloud platforms, I don't just read documentation—I build something substantial. Recently, I dove deep into Cloudflare Workers, and I wanted to tackle a problem that's becoming critical in today's AI landscape: catastrophic forgetting. Traditional RAG (Retrieval-Augmented Generation) systems use vector databases to enhance AI outputs by storing data as embeddings—multi-dimensional vectors that machines can understand. When you search, the system transforms your query into vectors and performs similarity searches using mathematical distance calculations. This approach searches for meaning, not just text. But it fails to solve a fundamental problem in agentic AI: catastrophi…  ( 10 min )

Imagine a tool so smart, it takes just your website URL, reads your entire business the heart, soul, and style and then, without any human help, creates marketing campaigns that speak your voice. Sounds like something out of a scifi novel, right? Meet Pomelli, Google’s newest AI powered marketing marvel, ready to rewrite the rules of how businesses promote themselves. This isn’t magic. It’s artificial intelligence steeped in Google Labs and DeepMind innovation that reads your site’s words, images, and styles, then builds a unique profile called “Business DNA.” Using this blueprint, Pomelli creates tailored campaign ideas that capture exactly who you are. Imagine trimming weeks of agency meetings and brainstorming down to minutes. Pomelli might just make that possible by giving businesses …  ( 8 min )

Author: Abstract: Smalltalk-80 and introduces a modern reinterpretation named Smalltalk.js, built atop the LAW-T framework (Law-Time Programming). The objective is to extract and formalize the original semantic “laws” that defined Smalltalk’s philosophical purity—everything is an object, message passing, blocks, live coding, and class hierarchy—and re-express them in a time-labeled JavaScript environment. The work situates these principles within the broader context of software language markets, governance models, and auditable code evolution systems. In 1980, the researchers at Xerox PARC introduced Smalltalk-80, a language that became the progenitor of object-oriented programming. It pioneered features that are now considered fundamental to modern software systems: live programming envir…  ( 9 min )

.My journey as a Flutter/Dart underDogg  ( 5 min )

TL;DR This article explains why LLMs are useful tools, but calling them "AI" is dumb marketing bullshit that leads to bad decisions, wasted money, and unrealistic expectations. When I scroll through LinkedIn, Reddit, or various blogs, I always read the same annoying phrases about our future: AI will soon replace nearly every engineer, will change the world, or, depending on who's talking, enslave us. AI is just a marketing slogan. Because this is what marketing does. It shouts loud and sells smoke and mirrors. What we call AI technically is only a simulation of "intelligence." Take Large Language Models, for example. Not magic, not conscious, not smart. Large: the immense amount of data it has been trained on. Language: the primary function is to process and generate human language. Mode…  ( 11 min )

Hello! Folks! We continue our series of articles about AI (Artificial Intelligence) and how to use it. Today's article will be more theoretical. We will try to figure out what models are, their types, how to use them, and what features they have. I hope you find it interesting, so let's go! And so, as usual (as it seemed in school), let's understand the concept of AI models. When you hear "AI model," it might seem like we're talking about something like a robot that thinks like a human. But in reality, it's much simpler (and more complex at the same time). An AI model is a mathematical construct that has been trained on data to later predict, classify, or even generate new texts, images, or codes. For example, if you use a translator, get recommendations on Spotify, or filter spam in you…  ( 11 min )

If you're learning C# or exploring .NET, you've probably heard the terms managed code and unmanaged code. This post breaks down what they mean, how they differ, and why it matters — using real-world analogies and examples. 🔧 What Is Managed Code? Managed code is code that runs under the supervision of a runtime environment — in C#, that’s the .NET Runtime (CLR). Automatic memory management (garbage collection) Type safety and security Exception handling Cross-platform support 🏢 Real-world analogy: Managed code is like living in a smart apartment — the system handles electricity, plumbing, and security for you. 🧠 What Is a Runtime Environment? A runtime environment is software that manages the execution of programs written in certain languages.You can install them from their official websites.Once installed, they allow you to run and build applications in that language. 🧱 What Is Unmanaged Code? Unmanaged code runs directly on the operating system without a runtime managing it. You’re responsible for memory, safety, and cleanup. ❌ Features of Unmanaged Code: Manual memory management No built-in safety or garbage collection Platform-specific 🏕️ Real-world analogy: Unmanaged code is like building your own cabin in the woods — you control everything, but you also maintain everything yourself. 📦 What Is an Assembly? Compiled code Metadata Optional resources 📦 Think of an assembly as a software package that the .NET Runtime knows how to run.  ( 6 min )

This is a submission for Frontend Challenge - Halloween Edition, CSS Art. The idea came from imagining an old spooky mansion that seems to watch you as you move — inspired by classic Halloween tales and atmospheric pixel art games. The goal was to make something that feels alive without heavy JS — just CSS magic and creativity. 👉 Live Demo :- https://codepen.io/Manukumar10/pen/KwVZROM This project was a fun mix of creativity and problem-solving. CSS-only haunted house using clip-path & gradients Glowing moon with layered shadows Animated drifting clouds & flickering windows Parallax motion on cursor move (tiny JS) Accessible and responsive design HTML, CSS (gradients, keyframes, clip-paths, blend modes), This project was a fun mix of design and code — using CSS to build a living, breathing haunted house scene. It reminded me how powerful simple web tools can be when mixed with creativity. Happy Halloween, and good luck to everyone joining the challenge! 🎃  ( 6 min )

I made two Python custom components in Langflow 🤷‍♂️ (Excerpt from Langflow’s site and GitHub repository) Langflow is a powerful tool to build and deploy AI agents and MCP servers. It comes with batteries included and supports all major LLMs, vector databases and a growing library of AI tools. Visual builder interface to quickly get started and iterate. Source code access lets you customize any component using Python. Interactive playground to immediately test and refine your flows with step-by-step control. Multi-agent orchestration with conversation management and retrieval. Deploy as an API or export as JSON for Python apps. Deploy as an MCP server and turn your flows into tools for MCP clients. Observability with LangSmith, LangFuse and other integrations. Enterprise-ready security a…  ( 15 min )

4 Next-Level ChatGPT Techniques (Save 15+ Hours Weekly) Boost your ChatGPT game with four power moves: Prompt Reversal Technique to reverse-engineer your best prompts 5-Minute Amplifier to spin one piece of content into blogs, tweets, and more Red Team Technique so AI critiques and improves its own work Blueprint Scaffolding to force ChatGPT to outline its reasoning before executing These hacks, demonstrated with real examples, have cut my AI workflow time in half—no matter your role or industry. Grab the free ChatGPT ebook, dive into the detailed blog post, or join the AI Course waitlist to start saving 15+ hours every week. Watch on YouTube  ( 6 min )

TL;DR: I built a feedback loop where every AI code review either fixes the code or evolves the rule — creating a self-improving system that keeps our team’s standards alive as both humans and AI adapt. In other words, it's a system that evolves with you, not just for you. This article introduces a framework I call The Red Queen Code Review Pattern — a way to make code reviews self-evolving through human-AI collaboration. In evolutionary biology, the Red Queen Hypothesis describes a race with no finish line. “It takes all the running you can do, to stay in the same place.” Biologists use this idea to explain how species must constantly evolve just to survive, because their environment — and everything competing within it — is also evolving. In AI-powered development, we face the same dynami…  ( 11 min )

Stop Building for "Scale." You Don't Have Users Yet. Shayan ・ Sep 4 #webdev #programming #javascript #ai  ( 5 min )

Everything Wrong With Predator: Killer of Killers in 16 Minutes Or Less is CinemaSins’ latest snarky take on the new animated Predator flick, tearing into every nitpick at lightning speed. You can find it on their main channel or spin-offs like TVSins, CommercialSins, and the Cinemasins Podcast, plus a handy Linktree for all the freshest updates. They’ve even got a sinful poll to learn more about you and a Patreon if you want to back the team. Keeping the content rolling are writers Jeremy, Chris, Aaron, Jonathan, Deneé, Ian, and Daniel (all active on Twitter or Instagram), and you can keep the conversation alive over on Discord, Reddit, Instagram, and TikTok. Oh, and don’t miss Jeremy’s book while you’re at it! Watch on YouTube  ( 6 min )

Predator 2 hops from the jungle to a sun-scorched, crime-ridden L.A. where Danny Glover takes the lead against a deadlier Predator (and yes, Gary Busey pops up). It’s a fun, off-kilter sequel if you’re cool with a different vibe than Schwarzenegger’s original. In this Caravan of Garbage review, the hosts lay out what works, what doesn’t, and where it strays from the classic. They also shout out bigsandwich.co for bonus vids, podcasts, commentaries and more. Watch on YouTube  ( 6 min )

Welcome to this comprehensive guide on deploying a Preact app using K3s locally! If you're new to web development, containers, or Kubernetes, don't worry—we'll start from the very basics and build up step by step. By the end, you'll have a fully functional Preact application running in a local Kubernetes cluster. This hands-on tutorial assumes no prior knowledge, so we'll explain every concept along the way. The basics of Preact (a lightweight React alternative) Introduction to containers and Docker Kubernetes fundamentals and why K3s is great for local development How to containerize and deploy an app locally Before we start, you'll need: A computer with Linux, macOS, or Windows (with WSL2 for Windows users) Basic command-line knowledge (we'll guide you through it) About 10-15 minutes of …  ( 9 min )

Vue.js is one of the most popular front-end frameworks for building modern web applications. One of its greatest strengths is its component-based architecture, which promotes reusability and maintainability. how should components communicate with each other efficiently? If not managed well, communication can quickly become messy, leading to tightly coupled components and difficult-to-maintain codebases. Why Component Communication Matters Data could become inconsistent across components. Debugging would be harder as multiple parts depend on each other. Adding new features could break existing functionality. By mastering Vue.js communication patterns, you ensure your app remains scalable, maintainable, and developer-friendly. “Programs must be written for people to read, and only incidental…  ( 10 min )

🧭 Overview In Joget, workflow tracking is essential for monitoring running or pending activities within business processes. This implementation allows you to track workflow activities by their activity names (e.g., those containing "validate request") by joining Joget’s workflow tables. The combination of SQL and DataList configuration provides an easy way to display: 🔢 Process IDs 🧾 Record IDs 👤 Pending Users ⚙️ Activity Details ⚙️ How It Works Here’s the breakdown of how the query and DataList integration work together: 🧩 SHKAssignmentsTable stores assignment-level workflow information. 🔗 wf_process_link maps workflow process instances to their originating form records. ⚙️ The SQL JOIN retrieves both workflow instance and record identifiers. 🔍 WHERE Activ…  ( 7 min )

AI is crowded now — every company wants to slap “AI-powered” on their product and call it revolutionary. But Grok AI, developed by xAI under Elon Musk, genuinely stands out. Not because of hype, but because it goes in a completely different direction than the polished, polite AI assistants we’re used to. Grok is built to be witty, sarcastic, unapologetic, and to answer the uncomfortable questions most chatbots dance around. It’s not here to act perfect. It’s here to act real — sometimes for better, sometimes for worse. Unlike most AI models that rely only on pre-trained datasets, Grok taps into real-time data from the web and live online conversations. So when something is trending right now, Grok knows it right now. Its personality is also intentional — rebellious, sharp, and occasionally…  ( 7 min )

You've hit this wall before. You're working on some complex modernization project with Claude Code or Amazon Q Developer CLI, and the agent starts losing coherence. Too much context. Too many domains. Architecture bleeding into security bleeding into performance optimization. The agent can't maintain focus. Your options have been to manually coordinate between separate agent sessions, copying context around like it's 2010. Or overload one agent with everything and watch quality degrade as the context window fills up. AWS to the rescue; they just released CLI Agent Orchestrator (CAO): multiple specialized agents working together under a supervisor. Hierarchical orchestration for your AI CLI tools. It's early, opinionated, and requires AWS infrastructure. But it shows where developer AI tool…  ( 9 min )

LeetCode: 1. Two Sum, Solución paso a paso Hoy quiero compartir cómo resolví el problema Two Sum de LeetCode. Es uno de los clásicos de entrevistas técnicas y me parece un excelente punto de partida si estás practicando lógica o estructuras de datos. Dado un arreglo de enteros nums y un entero target, se deben devolver los índices de los dos números cuya suma sea igual a target. El problema garantiza que siempre habrá una solución, y no se puede usar el mismo número dos veces. Entrada: nums = [2,7,11,15], target = 9 Salida esperada: [0,1] porque nums[0] + nums[1] = 2 + 7 = 9 1. Definiendo la función Primero definiré la función que recibirá el arreglo y el número objetivo: function twoSum(nums: number[], target: number): number[] { // La implementación irá aquí } Voy a usar un Map para guardar cada número junto con su índice. const map = new Map() Recorro el arreglo con un for, procesando cada número. for (let i = 0; i () for (let i = 0; i < nums.length; i++) { const complement = target - nums[i] if (map.has(complement)) { return [map.get(complement)!, i] } map.set(nums[i], i) } return [] } console.log(twoSum([2,7,11,15], 9)) // [0,1] console.log(twoSum([3,2,4], 6)) // [1,2] console.log(twoSum([3,3], 6)) // [0,1]  ( 7 min )

Let's face it, we write less and less code every day. Software engineering changed for good. That ship has sailed. And while we swing from "oh no, I'm going to lose my job soon" to "this clanker has no idea, of course I'm absolutely right", depending on the size and complexity of what we're building, we are not noticing what we are really losing. This one's short. Mostly because, despite growing up reading books, most of you now doomscroll your social media drug of choice and probably lost the attention span for more than a few lines of text. So if you made it this far, congrats! What I actually want to talk about is something different, and honestly, a bigger problem than we think. Those of you who enjoy programming will get this, back in the pre-AI days, coding felt like a craft. You'd h…  ( 8 min )

Stop Guessing, Start Finding: Your Ultimate Guide to the Java indexOf() Method Alright, let's talk about a scenario every coder faces. You've got a block of text—maybe it's a user's email, a log file, or some JSON data—and you need to find a specific piece of information inside it. Manually scanning through it? Absolutely not. That's what computers are for. In the world of Java, your best friend for this exact job is the String.indexOf() method. It's one of those fundamental tools that seems simple on the surface but is packed with more utility than you might realize. Getting a solid grip on it is a non-negotiable skill for any Java developer. So, whether you're just starting out or need a quick refresher, this guide is going to break down the indexOf() method for you. We'll go from "wha…  ( 10 min )

A start tag, content, and an end tag. Example: This is a paragraph. → Start tag This is a paragraph. → Content → End tag Together, they form a paragraph element Types of Elements: Block-level elements: Examples: , , , , Inline elements: Examples: , , , ,  ( 6 min )

In today’s fast-paced digital world, the demand for new software solutions is skyrocketing. Businesses of all sizes — from startups to global enterprises — need apps, websites, and automation tools faster than ever before. Yet, the shortage of skilled developers and the complexity of traditional coding often slow things down. This is where low-code and no-code development platforms are changing the game. These tools are democratizing software creation, empowering people with little to no technical knowledge to build powerful digital solutions. But what exactly are low-code and no-code platforms, and why are they reshaping the future of software development? Low-code and no-code platforms are visual development environments that allow users to create applications using drag-and-drop feature…  ( 8 min )

Introduction Implementing Microsoft Fabric can transform how your organization handles data analytics, integration, and insights. However, the success of this transformation largely depends on working with a trusted Microsoft Fabric Partner. These certified professionals ensure that every stage—from strategy to deployment—aligns with your business goals, helping you unlock Fabric’s full potential efficiently. Microsoft Fabric is an all-in-one analytics platform designed to unify your data, AI, and business intelligence. It integrates services like Power BI, Synapse, and Data Factory, making it easier to connect, transform, and visualize data. The platform includes: Data Engineering Data Factory Pipelines Data Science and AI Integration Real-Time Analytics Power BI for Visualization Worki…  ( 8 min )

Java hashCode() Explained: Why It's Your Secret Weapon for Speed Alright, let's talk about one of those Java concepts that everyone uses but few truly get: the hashCode() method. You've probably seen it—that little method that lives in the Object class, right next to its BFF, equals(). You might have even ignored those yellow squiggly lines in your IDE warning you to override it. But what if I told you that understanding hashCode() is literally the difference between writing slow, clunky code and building high-performance, scalable applications? It’s that important. So, grab your coffee, and let's demystify this thing once and for all. We're going to break it down, not with boring textbook definitions, but by understanding the "why" behind it. What is hashCode()? The 30-Second Elevator P…  ( 10 min )

In today’s competitive business environment, organizations are constantly searching for smarter ways to improve efficiency, reduce costs, and scale with confidence. Advancements in artificial intelligence (AI) have opened new doors for innovation, automation, and strategic decision-making. Businesses that once relied solely on manual processes and traditional analytics are now turning to AI consulting services to reshape their growth strategies. This is where AI Business Consulting becomes a driving force, helping companies unlock AI’s full potential through customized solutions. AI consulting services help companies identify areas where artificial intelligence can drive value. Rather than adopting AI tools blindly, organizations receive guidance on how to integrate data, automate workflow…  ( 8 min )

A post by Luca  ( 5 min )

Unlocking Data Relationships in Tableau: A Complete Guide to Correlation Analysis for Better Business Decisions Dipti ・ Nov 5  ( 6 min )

for install : See GitHub composer require saeedvir/laravel-modular INSTALLATION A powerful modular architecture package for Laravel applications that allows you to organize your codebase into independent, reusable modules with automatic discovery and zero configuration. ✨ Features 📦 Zero Configuration - Just run composer dump-autoload after creating modules ⚡ Performance Optimized - Built-in caching and lazy loading for production use ⚡ (saeedvir/laravel-modular 🆚 nWidart/laravel-modules) Peak memory: Improved by 23.1% and Memory usage improved by 10.2% 🎨 Complete Module Structure - Controllers, models, views, routes, migrations, translations 🔧 Artisan Commands - Comprehensive CLI tools for module management 📊 Performance Monitoring - Track module discovery and operation performance 🐛 Debug-Aware Logging - Respects APP_DEBUG for production-friendly logs 🧪 Testing Support - Built-in infrastructure for module testing 🎯 Laravel 11 & 12 - Full support for modern Laravel versions  ( 6 min )

When I first built my Firebase Cloud Messaging (FCM) notification system, I made a critical architectural mistake based on a fundamental misunderstanding of how Firebase tokens work. I treated them as user-specific when they're actually device-specific. This seemingly subtle distinction led to complex deduplication logic and unnecessary database overhead. Here's how I fixed it and what I learned about Firebase's token architecture. My initial implementation assumed a one-to-one relationship between users and push tokens. The logic seemed sound: each user logs in with a phone number, so I should group by phone number and pick the most recent token, right? Before Refactoring // notification.service.ts - Original Implementation async getValidPushTokens(lastSeq?: number): Promise<TokenResult[]…  ( 11 min )

Ways to Create Groups Efficiently in Tableau Anshuman ・ Nov 5 #beginners #datascience #productivity  ( 6 min )

moats so casually in tech today that it almost sounds like a checklist: MVP ✅ Market Fit ✅ Moat ✅ (???) Founders are thinking about defensibility even before the first commit. And that makes sense — the market moves faster than ever. But here’s the uncomfortable truth: Technology is no longer a moat by itself. There was a time when a clever architecture, backend logic, or data model bought you years of advantage. Not anymore. Today, the same system you spent 6 months architecting can be: Recreated with boilerplate frameworks Generated with AI-assisted coding tools Reverse-engineered from teardown threads Cloned with pixel-perfect UI using design AI Your product’s surface is now infinitely copyable. So if your moat isn’t your codebase, where does defensibility actually live? Let’s break…  ( 8 min )

This image is sourced from Work Chronicles, and all rights are reserved by them.  ( 5 min )

What Is a Rake Roof? rake roof is not a specific type of roof, but rather a feature found in pitched roof designs. The term “rake” refers to the sloped, usually triangular edges of a gable end. These edges can project outward or be trimmed flush with the wall, depending on the architectural intent and climatic needs. The rake serves both structural and aesthetic functions—it conceals roof framing, enhances airflow, and prevents rain or snow from blowing under the shingles. When combined with modern roofing materials and digital design tools, like CAD-based modeling, rake roofs offer customizable finishes that align with energy efficiency and local weather resistance standards. Functional Role in Roofing Architecture Key functional benefits include: Improved water runoff control and reduced…  ( 8 min )

4 Next-Level ChatGPT Techniques (Save 15+ Hours Weekly) Jeff Su walks you through four game-changing ChatGPT hacks to stop the endless back-and-forth of prompt refining and cut your AI workflow in half. You’ll learn to reverse-engineer your best prompts, turn one piece of content into multiple formats in minutes, get ChatGPT to critique its own work, and force it to outline its reasoning before diving in—all demonstrated with real-world examples. Whether you’re in marketing, design, or any other field, these methods will shave off hours every week. Plus, you’ll get links to a free ChatGPT ebook, a blog post with deeper dives, and bonus resources like an AI course waitlist, a Notion command center, and more. Watch on YouTube  ( 6 min )

In digital design, visuals speak louder than words — but what if your visuals are cluttered, inconsistent, or messy? Whether you’re managing an eCommerce catalog, social media campaign, or creative project, image consistency matters. It’s what makes a brand look professional and trustworthy. Yet, cleaning hundreds of visuals manually is exhausting, time-consuming, and — let’s be honest — boring. That’s where AI batch tools step in. These intelligent systems bring clarity to creative chaos — automatically cleaning, organizing, and enhancing visuals at scale. From removing backgrounds to balancing colors, AI tools are becoming the unseen heroes behind every polished digital brand. Let’s break down how they work, why they matter, and how they can transform your creative workflow from …  ( 9 min )

The Red Red Nose Pitbull stands out among dog lovers for its unmatched combination of power, loyalty, and striking color. Revered for its muscular frame, glossy reddish-brown coat, and distinctive nose, this breed is both a symbol of devotion and an example of misunderstood strength. Today, these dogs are widely appreciated not only for their looks but also for their companionship and intelligence. Understanding the Red Red Nose Pitbull These dogs were initially bred for physical endurance and working ability, not aggression. Unfortunately, negative stereotypes often overshadow their true nature as affectionate, family-oriented companions. When raised with care and proper training, a Red Red Nose Pitbull can become one of the most loving pets a family could have. Appearance and Physical Tr…  ( 9 min )

Explained in Simple Words (with Code Examples & Interview Tips) When I first started learning JavaScript, the word closure sounded scary. Later I realised closures are just functions that remember things — nothing magical, only useful. This article explains closures in plain English, with small code examples and a short interview-friendly answer you can use. Let’s keep it simple and practical. A closure is when a function remembers and uses variables from its outer (parent) function — even after the outer function has finished running. Think of it like a backpack 🎒: when a function is created, it carries its surrounding variables inside that backpack. Even if the parent function returns, the inner function still has access to those items in the backpack. function outerFunction() { le…  ( 9 min )

The Truman Show Rewatchables Bill Simmons and Chris Ryan welcome actor Glen Powell to revisit Peter Weir’s 1998 classic starring Jim Carrey, Laura Linney, and Ed Harris. They kick things off with Powell’s behind-the-scenes insights and dig into what makes Truman’s world so endlessly fascinating. They highlight their most rewatchable scene at 37:43, then dive into “The Categories” segment at 42:19—breaking down their favorite moments, themes, and surprising details. Along the way, they sprinkle in sponsor shout-outs and invite you to subscribe to The Ringer’s channels for more movie deep dives. Watch on YouTube  ( 6 min )

Everything Wrong With Longlegs In 24 Minutes Or Less tears apart Nicolas Cage’s wild performance in Longlegs with Cinema Sins’s signature tally of movie sins (spoiler: those legs really are that long). They’re also hyping Osgood Perkins’s upcoming Keeper and inviting fans to join the fun via a sinful poll, Patreon, and all their social channels. For more behind-the-scenes shenanigans and updates, check out their Linktree, website, and spin-off channels like TVSins, Commercial Sins, plus their Discord, Reddit, Instagram and TikTok. Watch on YouTube  ( 6 min )

Everything Wrong With Sinners In 15 Minutes Or Less CinemaSins is back to roast “Sinners”—one of this year’s best genre flicks—in record time, dishing out every nitpick and “sin” you can imagine (and a few you probably won’t). It’s smart, snarky and perfect for your spooky season binge. Want more? Hit up cinemasins.com or follow @TVSins, @commercialsins and @CinemaSinsPodcastNetwork on YouTube. They’ve got a sinful poll to fill out, a Patreon to support the dream team, plus Discord, Reddit, Instagram and TikTok communities where all the film-geek fun never stops. Don’t forget to stalk the writers (Jeremy, Chris, Aaron, Jonathan, Deneé, Ian and Daniel) for extra hot takes! Watch on YouTube  ( 6 min )

TL;DR When working with React Native and pnpm, just use node-linker=hoisted instead of trying to selectively hoist individual packages. It will save you hours of debugging mysterious codegen errors and Kotlin compilation issues. (If you're in a monorepo, you'll also need to update build.gradle paths to point to the root node_modules.) I'm working on a React Native 0.82 project in a pnpm monorepo. The structure looks like this: do-not-stop/ ├── mobile/ # React Native app ├── frontend/ # Web app ├── backend/ # API server ├── packages/ # Shared packages └── package.json # Root workspace During an Android build, I encountered this error: Error: Cannot find module 'E:\git\do-not-stop\mobile\node_modules\@react-native\codegen\lib\cli\combine\combine-js-to-sc…  ( 8 min )

A comprehensive journey through developing and deploying a full-stack financial advisory platform with explainable AI The financial advisory industry faces a critical accessibility challenge. Traditional investment advisory services are typically reserved for high-net-worth individuals, leaving millions of potential investors without personalized guidance. Key pain points include: High barrier to entry: Traditional advisors often require minimum investments of $100K+ Inconsistent advice quality: Human advisors vary in expertise and can be influenced by emotions or commissions Limited scalability: Human advisors can only handle a finite number of clients effectively Cost inefficiency: Traditional advisory fees (1-2% annually) significantly impact returns over time Lack of transparency: Clie…  ( 12 min )

I used to approach my life like I approached my code. When I felt anxious, I'd analyze the root cause. When I couldn't focus, I'd optimize my environment. When relationships felt difficult, I'd debug the communication patterns. I treated my mind like a system that could be understood, fixed, and optimized through the same methodical process I used for software. For years, this seemed to work. I identified cognitive biases like bugs in my thinking. I implemented productivity systems like architectural patterns. I A/B tested habits, monitored my energy levels like server metrics, and maintained detailed logs of what triggered different emotional states. I was treating my inner experience like a codebase that just needed better debugging. Then I spent six months trying to "fix" burnout using …  ( 12 min )

So, I was reading this blog the other day: How to use Gradle Flavors in Android - and honestly, it was such a great read. “Okay, I need to talk about this.” The blog walks through how Gradle Flavors can help you build multiple versions of your Android app from a single codebase. “Hey, can we get a free version? And a premium one? And maybe a version for our corporate partners?” Yeah. Instead of copying your entire project three times, you just use flavors. What really hit me was how clean and flexible this approach is. A free version with ads, A premium version without them, and Even white-label versions for different clients - all from the same project. No messy code duplication. No endless toggling between settings. freeDebug and premiumRelease. It made me realize how much time I’ve probably wasted doing this stuff manually. There was this one part in the article that stood out: “Flavors are powerful, but they can get messy if you go flavor-crazy.” And it’s true. demo, qa, staging, client1, client2, client3, your app can start feeling like a flavor buffet you can’t escape. The key is to keep your main codebase clean and only override what you really need per flavor. I’ll be honest - I can’t explain it as nicely as the original author did. But what I took away is this: Gradle Flavors are your secret weapon when you need to build multiple versions of the same app without losing your mind. You write once. Gradle does the rest. And if you haven’t checked out that blog yet, seriously - go read it. It’s written beautifully and worth every minute.  ( 7 min )

This is a submission for Frontend Challenge - Halloween Edition, CSS Art. Classic Halloween tales, eerie silence, flickering lights, and that feeling of being watched these inspired the tone of the piece. The goal was not just to show a scene, but to create a mood, a blend of calm and unease, beauty and fear. Note: For the best experience, view this on a desktop browser at 100% zoom. The layout and animations are handcrafted and may appear differently on other scales. Live Preview Source Code It’s pure CSS art brought to life through subtle animation and atmospheric storytelling. The idea was to create a scary Halloween night scene that feels alive, mysterious, and cinematic. Sky & Stars: A deep night sky filled with stars that blinks and appear in random places using JavaScript simulating the twinkle of distant galaxies. Glowing Moon: A full moon that pulses in brightness, casting its glow across the landscape. Witch & Clouds: A witch glides across the moon, while clouds drift slowly to give the scene depth and life. Haunted House: A chilling house with flickering window lights and in one window, a pair of blinking eyes watches you from within. Graveyard: Five tombstones marked with R.I.P. quietly rest near the trees, wrapped in the ghostly glow of the night. Ghosts: Two ghosts roam one hanging on the tree with red eyes, fading in and out; another wandering around the graveyard. Pumpkins & Barricade: Five glowing pumpkins guard the entrance, their flickering light adding warmth to the darkness. Trees & Owl: Bare trees stretch across the scene; an owl blinks occasionally, silently observing the world below. Chimney Smoke: Wisps of animated smoke rise gently, bringing subtle realism to the haunted house. MIT License, feel free to use or adapt with attribution. Made with ❤️ by @dipanshu447 Let’s keep making divs do wild things.  ( 7 min )

Every website deals with the same problem: bots crawling your site, and absolutely no reliable way to know which ones are legit. That bot claiming to be Googlebot? Could be Google's actual search infrastructure. Could be a scraper wearing a Googlebot costume. Your only evidence is a User-Agent header that literally anyone can fake with one line of code. Security reports show bot traffic now makes up over half of all web traffic, and a huge portion involves impersonation. Scrapers pretending to be search engines to bypass rate limits. Malicious actors spoofing legitimate crawlers to find vulnerabilities. And as AI agents become more common and start making purchases, booking services, and accessing sensitive data, the stakes are getting higher while our verification methods are stuck in 199…  ( 13 min )

Check out this Pen I made!  ( 5 min )

Two ransomware gangs. One leaked zero-day. And a billion-dollar enterprise suite caught in the crossfire. When enterprise meets chaos Oracle just had a week straight out of Mr. Robot. Two ransomware crews Clop and Scattered Spider both decided to exploit the same Oracle E-Business Suite bug. Then, in true internet fashion, one of them leaked the exploit on Telegram with a readme that literally threatened a “drone strike.” Somewhere, a CISO is crying into their compliance report. If you’re not deep into enterprise tech: Oracle E-Business Suite (EBS) is basically the giant ERP backbone for companies that still fax purchase orders. It runs HR, payroll, and supply chains the boring stuff that keeps capitalism alive. So when someone finds a remote unauthenticated exploit in that system, it’s …  ( 14 min )

Decoding Life's Code: AI-Powered Causal Inference for Biological Networks Imagine trying to understand a complex machine, but you can only see the parts and their basic connections. That's essentially what we face when studying biological systems. Understanding how genes, proteins, and other molecules interact is critical for tackling diseases and developing personalized treatments. The challenge? These interactions form intricate networks with feedback loops, making it difficult to determine cause and effect. That's where the exciting new field of causal structure learning comes in. Instead of just identifying correlations between biological components, we can now infer the direction of influence. Think of it like tracing the wires in that complex machine to understand which part direct…  ( 7 min )

มีใครได้ลองคิดหรือเตรียมตัวเผื่อไว้หรือยังหาก Region ที่เราใช้งานอยู่ ล่มไปในช่วงเวลาที่มีผู้ใช้งานระบบเราอยู่จำนวนมาก เราจะทำอย่างไร? ช่วงนี้หลายคนน่าจะได้เห็นข่าวหรือเจอเหตุการณ์ AWS ในบาง Region เกิดปัญหาจนระบบต่าง ๆ ใช้งานไม่ได้ ซึ่งเป็นอีกหนึ่ง Reminder ว่าระบบที่เราทำงานอยู่จะมองข้ามเรื่อง Availability หรือการเตรียมพร้อมรับมือกับปัญหาลักษณะแบบนี้ไม่ได้เลย ในบทความนี้ ผมจะพามาลองตั้งค่าระบบ Failover แบบ Multi-Region กับ Amazon EKS แบบ Step-by-step ให้เห็นกันชัด ๆ ว่าทำอย่างไร เหมาะสำหรับเอาไปปรับใช้กับระบบงานที่ทุกคนใช้กันอยู่ได้ เพื่อเพิ่ม resiliency ให้กับระบบของเรามากขึ้น AWS Account Route 53 (Public Hosted Zone) AWS CloudShell CLI ที่ต้องใช้: aws, envsubst, eksctl, kubectl, kubectx, kubens เมื่อพร้อมแล้ว มาลองลงมือสร้างระบบไปพร้อม ๆ กันได้เลยครับ ทุกคนสามารถรันคำสั่งตามขั้น…  ( 11 min )

Financial data websites on the market are often overwhelming. So I built a minimalist financial statement website called chat2report. All key data on one screen. It includes the Piotroski Value Scoring Model, a financial dashboard, latest earnings highlights, peer company comparisons, and long-term trend indicators. If you want to dive deeper, you can also browse SEC filings and ask questions about them. Coming soon: Detailed historical data for the three financial statements and key metrics. Value score rankings for all companies. Custom peer comparisons and long-term trend analysis. Remark This website is available on desktop only.  ( 6 min )

Leave a comment below to introduce yourself! You can talk about what brought you here, what you're learning, or just a fun fact about yourself. Reply to someone's comment, either with a question or just a hello. 👋 Come back next week to greet our new members so you can one day earn our Warm Welcome Badge!  ( 6 min )

AI made prototyping effortless, but deployment still feels like an anxiety boss fight. Here’s how we close the gap between code that vibes and code that survives. From weekend hackathon to production panic” There’s this moment every dev knows too well. Your app runs locally, the console flashes “Server started at port 3000”, and you lean back feeling unstoppable. Music’s good, code’s clean, dopamine’s high pure vibe coding. Then you push to production. And it’s like your code enters the Upside Down. Authentication fails. APIs vanish. Suddenly the same setup that purred in localhost starts screaming in logs. That’s the invisible wall between vibe coding and vibe deployment. The difference between building things that feel good… and building things that actually survive the real world. AI t…  ( 11 min )

October has been one of the most exciting and eventful months for the LitmusChaos community. With Hacktoberfest 2025 in full swing, we went all in, from hosting community-driven events to supporting contributors, shipping releases, and celebrating amazing open-source contributions. Hacktoberfest has always been special for LitmusChaos, and this year, we made it even bigger. The community came together to contribute to LitmusChaos and Litmus Docs, improving the project’s security, user experience, and accessibility with Litmus 4.0. Here’s what we achieved together in October: GitHub Stars: 112 new stars LitmusChaos Issues: 42 created → 27 closed (PRs merged), 15 in progress Litmus Docs Issues: 34 created → 31 closed (PRs merged), 3 in progress New Contributors 23 new contributors to Li…  ( 8 min )

Building an AI-Powered E-Commerce Platform with Rich UI Rendering I built an experimental e-commerce platform where the AI assistant doesn't just chat—it renders interactive UI widgets directly in the conversation. When you ask "add Smart Watch to my cart," you get a beautiful product card with live pricing. Request "show me a bar chart of my cart," and you see an actual SVG chart rendered in real-time. This PoC explores CopilotKit integrated with Azure OpenAI (not regular OpenAI), implementing rich rendering capabilities including product cards, shopping cart widgets, bar charts, and pie charts—all displayed natively within the chat interface. When I first started experimenting with AI-powered user interfaces, I thought the possibilities were limited to text-based responses. Then I dis…  ( 9 min )

We’re deploying like shōnen heroes in turbo mode but our security still fights with dial-up reflexes. Here’s what’s really breaking (and how to fix it before it breaks us). When your code moves faster than your security team can blink There’s a moment every developer secretly dreads: the deploy goes green, everyone cheers, and ten minutes later someone on Slack types, “Hey… did we mean to expose that API key?” Welcome to 2025 the golden age of “move fast and accidentally leak things.” Our CI/CD pipelines can spin up production clusters in under a minute, but half the industry still treats security like a post-credits scene nobody sticks around for. It’s not that we don’t care. We do. It’s just that between sprint reviews, merge conflicts, and the daily dopamine hit of shipping something …  ( 12 min )

It’s 2025, and the cross-platform battleground is hotter than ever. Flutter and React Native are still leading the charge — but one of them is quietly taking over. Let’s break it down. Both frameworks promise the same dream — build beautiful apps that run seamlessly across Android, iOS, Web, and Desktop. But how they get there is where things get interesting. Feature Flutter React Native Flutter compiles directly to native ARM code and uses its own rendering engine (Skia). 🏆 Winner: Flutter — smoother animations, faster startup times, and fewer performance quirks. . 🎨 UI and Design: The Flutter Advantage Flutter’s widget-based architecture gives pixel-perfect control — what you design is what you get. Flutter’s Material 3 and Cupertino widgets m…  ( 8 min )

Hey folks 👋 https://coloredtoblackandwhite.com/image-crop-tool.html Would love to know how the UI feels or any feature you’d add!  ( 6 min )

CinemaSins takes on one of the biggest genre hits of the year in “Everything Wrong With Sinners In 15 Minutes Or Less,” piling on playful “sins” for Halloween fun and pointing fans to their main site and YouTube channels (@TVSins, @commercialsins, @cinemasinspodcastnetwork). They’re also calling on viewers to join the conversation—fill out their poll, support the team on Patreon, and stay in the loop via their Linktree, Discord, Reddit, and social feeds—while shouting out their crack writing squad. Watch on YouTube  ( 6 min )

React hooks revolutionized how we write components. But the true power of this system unfolds when you move beyond the built-in hooks and start creating your own. Custom hooks are the most important pattern for sharing stateful logic between components, and mastering them is a key step in becoming a proficient React developer. This guide covers how to build them, when they are necessary, and—just as importantly—when to avoid them, with advanced tips integrated throughout. A custom hook is simply a JavaScript function whose name starts with use and that calls other hooks. That's it. It's a convention that allows you to extract component logic into a reusable function. Let's start by identifying a piece of logic we might want to reuse. A common scenario is managing a boolean toggle state. Be…  ( 8 min )

In the ever-evolving world of technology, one term that has steadily been gaining traction is edge computing. With the growing need for faster, more reliable data processing, edge computing promises to revolutionize how we interact with technology—particularly in real-time applications. But what exactly does this mean? And how does it affect industries and applications where split-second decisions are crucial? Let’s dive into this game-changing technology, how it works, and why it’s becoming the backbone of modern, real-time systems. To understand edge computing, imagine you’re on a video call. The video and audio signals are processed on your phone or laptop, right? But what if every time you spoke, that data had to travel halfway around the world to a data center for processing before co…  ( 9 min )

Timestamp: Oct 30, 2025 +96hrs When OpenAI committed $38 billion to AWS over seven years, the tech press framed it as a cloud migration story. But infrastructure deals at this scale aren't about servers—they're about narrative control. Whoever owns the compute stack shapes what AI can say, build, and refuse. This isn't just a story about OpenAI and AWS. It's a story about how infrastructure shapes cognition, how deployment logic becomes editorial logic, and what skills persist when everything else automates. This article does two things: Analyzes the strategic and technical implications of the OpenAI-AWS pact Maps those implications to the skills that remain valuable—foundational, even—as AI saturates every layer of the economy Let's start with the deal itself. Multi-cloud resilience …  ( 12 min )

Introduction As company website grows globally, the demand for fast, reliable access to product images, videos, marketing materials, and customer success stories continues to rise. To meet this challenge, I completed a lab in the Azure portal to configure a highly available blob storage solution with public access, versioning, and recovery features. What You’ll Learn How to create a high-availability Azure Storage Account How to configure anonymous public access for website content How to create and manage a blob container How to enable soft delete and restore deleted files How to enable blob versioning and recover previous versions Step-by-Step Lab Instructions 1. Create a storage account to support the public website. In the portal, search for and select Storage accounts. Select + Cr…  ( 8 min )

TL;DR: I built a 100% private AI tool that learns your writing style and generates content that sounds like you wrote it - all running locally on your machine with no data sent to the cloud. As someone who writes a lot - tweets, emails, blog posts, documentation - I noticed I was spending hours crafting messages in my personal voice. AI tools like ChatGPT can write, sure, but they sound... robotic. Generic. Not me. I wanted something that could: Learn my unique writing style Generate content that sounds indistinguishable from what I'd write Run 100% locally for complete privacy Work with any type of writing samples (tweets, emails, blog posts) So I built CloneWriter - an AI voice cloning tool powered by local LLMs via Ollama. Here's what I used to build this: Next.js 14 (App Router) - For …  ( 13 min )

Process Bottleneck Breakthrough: AI-Powered Outcome Prediction Tired of generic process models that don't reflect reality? Imagine trying to improve a factory line using a blueprint that ignores critical defects or inefficiencies. Current process mining often misses vital insights by treating all process executions as equal, masking the true drivers of success and failure. The game-changer? Outcome-aware process discovery. By leveraging advanced rule-learning techniques, we can now analyze event logs and automatically identify key differences between desired and undesired process executions. This allows us to build separate, focused process models that clearly highlight the distinct patterns driving positive and negative outcomes. Think of it like sorting apples: Instead of just creating…  ( 7 min )

In the last blog (Day 12), I explored how networking in AWS forms the foundation for secure and scalable compute - using VPCs, Subnets, Gateways, and Security Layers. But then I faced a new challenge: "Where do I keep the data that shouldn't vanish after my EC2 shuts down?" That's when I discovered Amazon S3 (Simple Storage Service) - the unsung hero of the cloud. S3 Buckets and Objects Regions S3 Storage Classes Versioning Access Control Buckets and Keys S3 Data Consistency Models Object Lifecycle Management Encryption And I'll share how I applied these in my AWS Sandbox project Amazon S3 (Simple Storage Service) is AWS's object storage platform - used to store any amount of data, anywhere, at any time. Unlike local drives or block storage, S3 isn't tied to an instance - it's global, du…  ( 9 min )

NOTE: I know that modifying environment variables in tests is a controversial technique, but we do it on this project, so we have to do it properly. This week I learned that Application.put_env/4 can cause flaky tests, both when running sync and async. I was building out a test for a module that pulled data from config.exs. It looked like this: and I set data as module attributes: When I started running the tests, I was getting intermittent failures. After some digging, I found that when the tests failed, the returned config list was not what I expected, it only contained a single key/value pair: I was using a new (to me) mocking library for my tests, so my first thought was that I was somehow overwriting the configs, or that the mocks were using a different set of test-specific configs. I…  ( 9 min )

When I started working on a grammar checking website, I thought the problem was mostly about syntax. I soon realized it was more about the tension between rules, meaning, and performance. Looking at existing grammar checkers, each one reflects a different philosophy: Grammarly focuses on communication optimization. It combines a large rule set with transformer-based contextual ranking, performing well for tone adaptation but sometimes normalizing unique writing styles. LanguageTool leans on interpretable, rule-based patterns. Its XML-defined rules are easy to debug and extend, but struggle with nonstandard syntax or mixed-tone sentences. DeepL Write emphasizes fluency, often rephrasing entire sentences rather than flagging discrete grammar points. It feels natural but can overwrite sub…  ( 7 min )

If you love living inside the terminal but still want the reach of GPT models at your fingertips, let me introduce the latest release of Tux-GPT. It’s a command-line assistant (not a persistent background agent) that gives you conversational help, code guidance, and shell-ready automations without breaking your flow. If you ask me, I’d say this is like a lite version of the Codex client. Terminal-native experience: prompts, responses, and formatting stay inside your shell (rendered with rich). Context-aware conversations: history and preferences live in ~/.config/tux-gpt/, so the CLI remembers your last 20 exchanges. System-aware commands: at startup, Tux-GPT inspects the host OS (distro, architecture, version) so suggestions match your environment. Flexible interaction modes: free-form ch…  ( 7 min )

As developers, we often encounter problems that existing tools cannot elegantly solve. My connection with TransMonkey began with a common challenge faced by developers: the fragmentation of language tools makes international collaboration exceptionally complex. Working with international teams and content, I consistently faced: Fragmented translation workflows Poor context preservation in existing tools Expensive enterprise solutions vs. basic free tools No unified platform for document, image, and multimedia translation TransMonkey addresses these challenges through: Multi-format support: Documents up to 1500K characters Image translation: High-resolution processing up to 10MB Multimedia pipeline: Unified transcription, translation, and dubbing 130+ language support: Comprehensive langua…  ( 9 min )

Timothy found Margaret reviewing performance metrics, looking troubled. "I've built this beautiful async system," he said, "but I need to integrate with an old library that does synchronous file processing. When I call it, my entire event loop freezes. Everything stops until the blocking operation completes." Margaret nodded knowingly. "You need an Executor. Think of it as hiring temporary workers who handle blocking tasks in separate threads or processes, so your main async workflow keeps flowing smoothly." Timothy showed Margaret his broken async system: import asyncio import time def blocking_file_operation(filename): """Legacy function that blocks for 3 seconds""" print(f"Starting blocking operation on {filename}") time.sleep(3) # Simulates slow I/O print(f"Finished b…  ( 17 min )

How growing up as a developer turned chaos into clarity and why boring code is secretly the real endgame. The fire years: chaos, caffeine, and crash logs Every developer has their “origin story” and for most of us, it started in fire. The first real job. The first deploy that took down production. The first time you realized sudo could destroy not just your system, but your entire weekend. Those were the fire years. You were fueled by caffeine, driven by ego, and powered by the blind confidence of someone who thought testing in prod was a personality trait. The office lights blurred into monitor glare, and sleep was just a state between deploys. I remember my first big failure like it was yesterday. No CI/CD, no rollback plan, just me and a fragile EC2 instance that doubled as our dev and…  ( 11 min )

As part of the HNG Internship, The stage 3 task for backend was to build AI agents, So I decided to take on something small but meaningful — a project that would stretch my creativity, logic, and ability to ship something functional in a short time. That’s how Definition Bot was born. The Idea The idea behind Definition Bot is simple: Type a word, and the bot instantly gives you its definition. No distractions, no complex commands — just quick, helpful definitions. I’ve always believed that simplicity is powerful. You don’t have to reinvent the wheel to learn or build something impactful. The goal of this project was to keep things minimal yet purposeful — focusing more on clean logic and easy usability rather than heavy architecture. The Tech The bot is built entirely with TypeScript, ensuring strong typing, better structure, and maintainable code. To power the AI side of the bot, I experimented with Mastra AI, which made handling definitions and language understanding smoother. It’s a lightweight integration that adds a layer of intelligence without complicating the setup. By combining simple logic with a touch of AI, Definition Bot can respond quickly and accurately to definition requests — all while being open, transparent, and easy to extend. Why It Matters This project wasn’t just about building a bot — it was about learning how to think. As developers, we often chase complexity, but during the HNG internship, I’ve realized that thinking simple often leads to better solutions. It’s about focusing on the user’s need and removing unnecessary noise. Check it Out You can explore the code, contribute, or try it out Here: Closing Thoughts Definition Bot may be a small project, but it represents a bigger mindset — start small, think clearly, and build with purpose. Every big step starts with a simple idea, and for me, this was one of those steps. Here’s to learning, building, and growing through HNG  ( 7 min )

HAProxy, Nginx, and one bad idea that taught me more about scaling than any tutorial ever did. When the Graph Went Vertical It didn’t start with a bang. It started with graphs. You know the kind the “oh cool, traffic is up!” kind that turns into the “wait, why is everything red?” kind before your next sip of coffee. The dashboards weren’t just spiking; they were ascending. CPU at 98%. RAM evaporating like your confidence in distributed systems. Connections kept climbing, long after they should’ve stopped. That’s when it hit us: we were sitting on 100,000 live WebSocket connections. Not “requests per second.” Not “unique users.” Actual, ongoing, needy little sockets that refused to hang up. Each one was clinging to a thread of server memory like a cat dangling off a ledge and we had a hund…  ( 11 min )

Every “simpler” DevOps tool is just Kubernetes wearing sunglasses. The dream of simplicity I remember the day I promised myself I’d never touch Kubernetes again. I’d seen things pods looping, nodes ghosting, Helm charts crying in YAML. So this time, I swore: “Just one container. That’s it.” That’s how it always starts, right? You tell yourself you’ll spin up a single Docker image, serve one tiny app, and call it a night but then it happen one turns into two then you need a load balancer then health checks then well you’re halfway through rebuilding Kubernetes before you even realize it. I call this the DevOps Loop of Denial. Every engineer goes through it: First, you reject Kubernetes. Then you reinvent it. Finally, you accept it. Like grief, but with YAML. The funny part? It’s not eve…  ( 10 min )

The Singleton Design Pattern ensures that a class has only one instance and provides a global point of access to it. In this video, we’ll explore how Singleton works in C#, its benefits, pitfalls, and real-world use cases. 💡 You’ll Learn: • Real-world example: Configuration Manager in C# • How Singleton prevents multiple instances and ensures consistency • Benefits and drawbacks of using Singleton • Why Factory or Prototype patterns can’t replace it  ( 6 min )

Há um tempo eu venho tentando contruir um SaaS como forma de praticar meus estudos. Durante várias ideias e tentativas, eu me deparei com um problema relacionado ao docker: por algum motivo, o Docker Desktop não queria funcionar com Windows. O que foi estranho e pareceu ser um problema simples de resolver, acabou se tornando uma dor de cabeça tremenda e me levou a buscar novas alternativas. O uso do WSL2 se mostrou como caminho, não só para resolver um problema, mas como um tópico de estudo para além da programação. O WSL2 não é uma simples compatibilidade de comandos UNIX dentro do Windows. Ele roda um kernel Linux completo em uma máquina virtual leve baseada em Hyper-V. Quando o Docker Desktop é configurado para usar o WSL2 como backend, todos os containers são criados dentro desse kerne…  ( 8 min )

Industry Developments & Investments The AI industry is experiencing significant investment and strategic collaborations, with Anthropic projecting substantial B2B demand growth and NVIDIA partnering with Deutsche Telekom on a major €1B partnership for a data center. OpenAI has also solidified its market position through a multi-billion dollar deal with Amazon, as noted by Wired, demonstrating continued confidence in foundational AI and cloud infrastructure. Other notable agreements include People Inc.'s AI licensing deal with Microsoft, while the robust financial dynamics of AI companies like Palantir and NVIDIA remain a notable factor in the broader stock market. Advances in AI capabilities are leading to new applications and infrastructure innovations. Rivian's new spinoff, Mind Robotics, signals a deepening integration of AI into robotics, while OpenAI has made its popular Sora video generation application widely accessible on both Android and iOS, with a specific focus on its Android release. Concurrently, leading research efforts include Google's exploration into space-based scalable AI infrastructure, alongside continued insights from the Generalist AI blog and new peer-reviewed research, collectively pushing the boundaries of AI development. As AI expands, critical issues in governance, ethics, and risk management are increasingly prominent. Concerns range from problematic outputs like Fox News falling for racist AI images and enterprises being unprepared for malicious AI agents, to experts identifying flaws in AI safety tests. Legal challenges also loom, with OpenAI facing a significant copyright row and implementing content restrictions where ChatGPT will no longer discuss sensitive topics. This regulatory and ethical landscape further includes competitive disputes, such as Amazon's cease and desist against Perplexity's AI shopping agents.  ( 7 min )

Spiking Neural Networks: The Next Leap in AI Power Efficiency Tired of your AI apps draining your phone battery? Imagine running complex machine learning models on a tiny, low-power device without sacrificing performance. The secret? Ditching traditional artificial neural networks (ANNs) for something that mimics the human brain's efficiency: Spiking Neural Networks. Spiking Neural Networks (SNNs) are a new breed of AI that operates using short bursts of signals, or "spikes," much like our neurons. Instead of constantly processing information, they only fire when necessary, dramatically reducing energy consumption. Think of it like a light switch versus a dimmer: ANNs are always on, while SNNs only flip on when they need to react, like how neurons in your brain conserve energy until stim…  ( 7 min )

Why this post? Between Angular 16→20 and RxJS 8, the way we build reactive Angular apps has changed. Signals now handle most local UI state, while Observables remain king for async and event streams. The sweet spot is interop—and that’s what this guide is about. What Changed (Angular 14 → 20) RxJS 8+: What’s New Signals vs Observables: When to Use Which Interop Patterns (toSignal, toObservable, rxResource) UI Patterns: AsyncPipe, takeUntil, takeUntilDestroyed Performance Checklist (2025) Full Example: Search + Pagination with Signals + RxJS Migration Notes & Anti‑Patterns Conclusion Version Highlights 14 (2022) Standalone components (NgModule optional), Typed Forms, DI improvements. 15 (2022) Standalone API matures, tree‑shaking improves, Directive Composition API. 16 (2023) Si…  ( 10 min )

If you are a computer science student or plan to start studying something related to this field, consider the following habits As a student (especially a freshman) you’ll need to use Python, Java, C++, and even Assembly (yes, that). You might think, “I’ll never use this later” ha! But you will. Programming daily, even for just 30 minutes, builds the logical and abstract thinking muscles you’ll need for every other topic in CS: algorithms, data structures, operating systems, AI, all of it. Do it consistently, and you’ll find yourself coding 3 to 5 hours a day without noticing, as if you were already working in tech. Reading code is how you develop taste. It’s how you recognize elegant logic, proper naming, and good software architecture. Read other people’s GitHub repositories. Look at open…  ( 8 min )

If you're publishing .app files: New certs need secure hardware (Azure Key Vault or FIPS USB). ❌ No valid signature = No AppSource Even on-prem needs explicit skip Options: Full guide: 👉 Sign an app package file — Business Central | Microsoft Learn  ( 6 min )

Working with logs, telemetry, or large-scale datasets in OpenSearch can result in slow and heavy queries. This guide covers everything a Tech Lead needs to know about optimizing searches using the Asynchronous Search API in OpenSearch Dashboards. OpenSearch consists of: Cluster → group of nodes that store and process data. Shards → distributed index fragments. Dashboards → visualization interface and REST Dev Tools. Plugins → extensions such as Security, Reports, and Asynchronous Search. The asynchronous search (_plugins/_asynchronous_search) executes queries in the background, allowing progress tracking, cancellation, or retrieval without blocking the client. Simplified flow: [Dashboards / API] ↓ POST /_plugins/_asynchronous_search ↓ → Cluster processes the query in the background …  ( 8 min )

Last month, Colorado's AI Act went into full effect. California's considering similar legislation. New York has its own version in committee. Meanwhile, Sam Altman sat across from Brad Gerstner and said something quietly alarming: "I don't know how we're supposed to comply with that Colorado law. I would love them to tell us what we're supposed to do." Not "we disagree with it." Not "it's too burdensome." Simply: we don't know what compliance even means. This same week, OpenAI released a new licensing framework positioning themselves as more responsible, less "edgy." They can write compliance-shaped language. They can commit to trying harder. But operational clarity on HOW to comply with Colorado's specific requirements? That's the gap Sam's describing. You can promise to be good without k…  ( 13 min )

Picking a tech stack for your SaaS can feel like walking into a buffet with 100 dishes — everything looks good, but choosing feels impossible. Should you go Next.js or React? MongoDB or PostgreSQL? Supabase or Firebase? And what if you pick wrong? Relax — this isn’t marriage. It’s more like dating your tools. You can switch later, but the goal is to start with a stack that helps you move fast now. Let’s break it down the simple way. Start With What You Know If your current skills were a toolbox, what’s already inside? If you’re comfortable with JavaScript, stick with a JavaScript-based stack — like Next.js + Node + MongoDB. Learning a new language while building a startup is like learning to swim during a storm — possible, but unnecessarily hard. Focus on getting your idea live first…  ( 7 min )

Okay so its time to define our model class both its .h file and cpp file. Lets start with the .h file. First lets define a vector list made of of different vec3 that our model consists of and then lets. Then we store each face inside the int list. What is a face? Well every 3 vertexpositions we can draw a triangle, that triangle is the face. Then for our public class stuff. Our constructor takes a string path (constant so we dont fuzz about with it accidentally later on). Then our functions, quite simple. Constant get functions because we dont intend to change models after they have loaded in right now so our vertex count and face count will not change. Lets take a look at the cpp file now Lets start simple with this little helper function that takes a reference to str and the referenc…  ( 9 min )

When I first got into IT, I was all about planning. I’d spend hours researching, mapping everything out, and building the “perfect” install plan before touching anything. But, like most people find out sooner or later, things rarely go exactly as planned. There was always some hiccup that meant going back and tweaking things. These days, I take a more practical approach—working step by step, making sure things are stable before moving forward. It’s less about perfection upfront and more about building confidence as I go. In the first part of this series, we got Samba up and running with a basic file share. That laid the groundwork. Now it’s time to start tightening things up. In this article, we’re going to focus on the heart of the Samba config—the [global] section. Think of this as setti…  ( 9 min )

Building a SaaS app from scratch is a bit like trying to bake a cake without a recipe — you know the ingredients (auth, payments, routing, databases), but mixing them right takes forever. That’s where SaaS starter kits come in. They’re like having a preheated oven and half the cake already done. You just add your flavor — your features — and it’s ready to serve. In this post, I’ve rounded up some of the best SaaS starter kits for 2025, whether you’re building your first project or your tenth. SassyPack (MERN + Stripe) If setting up a full stack feels like untangling Christmas lights, SassyPack is the kit that plugs in perfectly on the first try. It’s built on MERN (MongoDB, Express, React, Node) and gives you a fully working SaaS base out of the box. What you get: Auth system (JWT + ro…  ( 7 min )

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We just posted a course on the freeCodeCamp.org YouTube channel that will teach you all about cryptography. You'll learn essential techniques like hashing (SHA-256) for verifying file integrity, symmetric encryption (AES), and asymmetric encryption (...  ( 4 min )

Learn Creative Web Development with Three.js and Blender! We just posted a beginner-friendly course on the freeCodeCamp.org YouTube channel that will teach you to create an immersive 3D portfolio. You'll begin by diving into Blender to learn the fund...  ( 4 min )

Most commercial voice assistants send your voice data to cloud servers before responding. By using open‑source tools, you can run everything directly on your phone for better privacy, faster responses, and full control over how the assistant behaves....  ( 13 min )

Artificial intelligence is moving fast. Every week, new tools appear that make it easier to build apps powered by large language models. But many beginners still get stuck on one question: how do you structure the logic of an AI application? How do y...  ( 9 min )

In modern software development, event-driven architectures have become one of the most powerful ways to build scalable, decoupled, and responsive systems. Instead of relying on direct calls between components, event-driven systems communicate through...  ( 29 min )

Have you ever wondered how JavaScript runs your code behind the scenes, and how the Global Execution Context actually works? How does hoisting work for var, let, and const? Consider the code bellow: console.log('My age is', age) console.log('My name ...  ( 11 min )

European session buying lifted volume 78% above the 24-hour average as bitcoin cash set higher lows at $462.67, $474.27 and $479.03.  ( 31 min )

Market structure legislation could still see movement this year, but likely won't become law before 2026.  ( 31 min )

The brokerage platform saw a record $80B in crypto trading volume; shares dipped in after hours action despite the earnings beat.  ( 29 min )

As financial giants test cross-asset collateral, they say legal gaps — not tech — are the biggest threat to scale.  ( 31 min )

In the wake of the U.S. GENIUS Act, Canadian lawmakers are moving on Canadian-dollar-backed stablecoin legislation, which is being cheered by crypto interests.  ( 30 min )

Also: The First AI Agent App Store, ETH Devs Lock In Fusaka Mainnet Date and Edge & Node’s Ampersand.  ( 38 min )

This comes after the Foundation opened its airdrop claim portal on October 14, inviting users to verify their eligibility.  ( 30 min )

In this week’s Crypto Long & Short Newsletter, Pascal Eberle writes about redefining the custody standards for banking and Andy Baehr explains how the crypto market is awaiting a new leader to spark its next rally.  ( 39 min )

XLM outperformed the broader crypto market with a 0.97% gain, supported by a sharp rise in trading activity and an ascending technical pattern suggesting continued upside potential.  ( 31 min )

Hedera’s HBAR token climbed 1.31% to $0.1725 on Tuesday, with trading volume soaring as technical indicators point to a potential move above key resistance levels.  ( 31 min )

The pilot, unveiled at Swell 2025, positions regulated stablecoins like RLUSD as fast, compliant rails for fiat card payments.  ( 31 min )

The system provides regulators with real-time visibility into a stablecoin's backing and circulation, automating compliance checks onchain.  ( 30 min )

Despite signs of stabilization, with TON consolidating in a narrow range, momentum remains fragile, and a break below $1.87 could lead to further losses.  ( 30 min )

BONK gains 2.84% to $0.00001215 as volume surges 134% above average, maintaining upward momentum within defined technical boundaries.

Privacy coins are outperforming as traders turn away from ETFs and transparent ledgers, reviving crypto’s oldest idea: digital cash that can move freely, without surveillance.

Nearly 57% of all money ever invested in bitcoin is in the red at the $100,000 level according to James Check.

The bank kept its hold rating on the stock and trimmed its price target to $16 from $19.

If momentum holds, BNB has potential for upside toward the $1,230-$1,300 range, with the $950 level emerging as a key psychological barrier.

Bitcoin was managing a modest bounce early Wednesday following yesterday's tumble below $100,000.

The Wall Street bank blamed recent market underperformance on October liquidations, cooling demand from spot ETFs, and weakening technicals.

Avalanche (AVAX) joined Sui (SUI) as a top performer, rising 9% from Tuesday.

Investors overreacted to the absence of a hyperscaler deal announcement, overlooking Hut 8’s long-term potential in AI, energy, and bitcoin infrastructure.  ( 31 min )

Pantera, Galaxy Digital and Citadel Securities joined the deal, which expands Ripple’s institutional base as its payments and stablecoin businesses surge.  ( 29 min )

The UK government is moving quickly toward a centralized digital ID system without the technological or legal safeguards to protect against authoritarianism or cybercrime.  ( 33 min )

Internet Computer slips to $4.99 after a rally above $6.50 fades, as profit-taking caps gains despite elevated trading volume.  ( 30 min )

The S&P Digital Markets 50 Index tracks a basket of blockchain-focused stocks and digital assets; Chainlink will provide crucial data to support a tokenized version.  ( 30 min )

After a sharp sell-off Tuesday, crypto markets are stabilizing, though continued dollar strength could extend downside pressure.  ( 33 min )

Your day-ahead look for Nov. 5, 2025  ( 39 min )

The exchange founded by Cameron and Tyler Winklevoss has discussed unveiling products in this area as soon as possible, according to a report on Tuesday.  ( 30 min )

The case is the largest financial fraud in Hong Kong's history, with Interpol issuing red notices for three fugitives.  ( 30 min )

Key moving averages remain crucial support levels as long-term investors trim holdings, adding pressure to the ongoing bull market.  ( 31 min )

Funding round backed by Fulgur Ventures, Nakamoto, and TOBAM positions FUTURE as an institutional bridge between Bitcoin and global capital.  ( 31 min )

U.S.-China trade tensions are easing, with China suspending additional tariffs on U.S. goods.  ( 30 min )

‘fuxfux007’ lost nearly $969,169 making a bold bet against New York City mayoral candidate Zohran Mandami.  ( 30 min )

"Most of the world still doesn't have crypto," said Animoca Brands' co-founder, adding that his company is planning to help change that through its public listing.  ( 32 min )

Leader in cryptocurrency, Bitcoin, Ethereum, XRP, blockchain, DeFi, digital finance and Web 3.0 news with analysis, video and live price updates.  ( 30 min )

Traders are monitoring the $2.08 support level to prevent further declines toward $2.00.  ( 32 min )

Traders can also keep track of where liquidation levels are concentrated, helping identify zones of forced activity that can act as near-term support or resistance.  ( 32 min )

The US- and UK-based company Quantinuum today unveiled Helios, its third-generation quantum computer, which includes expanded computing power and error correction capability.  Like all other existing quantum computers, Helios is not powerful enough to execute the industry’s dream money-making algorithms, such as those that would be useful for materials discovery or financial modeling. But Quantinuum’s…  ( 22 min )

This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology. Why the for-profit race into solar geoengineering is bad for science and public trust —David Keith is the professor of geophysical sciences at the University of Chicago and Daniele Visioni is an assistant…  ( 22 min )

This year, we’ve seen a real-time experiment playing out across the technology industry, one in which AI’s software engineering capabilities have been put to the test against human technologists. And although 2025 may have started with AI looking strong, the transition from vibe coding to what’s being termed context engineering shows that while the work…  ( 22 min )

Transport Minister Anthony Loke announced that the government is considering extending the Madani FLYsiswa voucher programme to include private university students. This was announced by Loke at the Dewan Rakyat. However, Loke noted that cost remains a major factor in expanding the subsidy, as the initiative is not funded through the government’s regular budget, but […] The post Government Considers Extending FLYsiswa Vouchers To Private University Students appeared first on Lowyat.NET.  ( 34 min )

Two weeks ago, nubia launched the Z80 Ultra in its home market of China. It’s our turn this week, as the company’s local arm has announced the launch of the phone for the Malaysian market. That being said, only one of its three configurations have made its way to our shores. Beyond that, most of […] The post nubia Z80 Ultra Launches In Malaysia With RM3,699 Price Tag appeared first on Lowyat.NET.  ( 34 min )

The Digital Ministry is set to roll out its National Cyber Ethics Module (ESN) in schools across Malaysia by January 2026. According to its minister, Gobind Singh Deo, it aims to raise awareness and understanding of online safety and ethics among students. Developed in collaboration with the Ministry of Education as part of the government’s […] The post Digital Ministry To Launch National Cyber Ethics Module In Schools By 2026 appeared first on Lowyat.NET.  ( 34 min )

Samsung had showcased its upcoming tri-fold smartphone, tentatively named the Galaxy Z TriFold, at the 2025 K-Tech Showcase. While we were unable to attend the event and examine the device firsthand, a video posted by SBS News and Omokgyo Electronics offers a clear view of the foldable from various angles. Being a unique smartphone, the […] The post Footage Showcasing Close-Ups Of Samsung Tri-Fold Appears Online appeared first on Lowyat.NET.  ( 35 min )

Tune Talk has updated its lineup of 5G prepaid plans with the introduction of the Epik+ 28 package. This plan serves as the new entry-level option, replacing the Epik+ 25 plan. While the new package is a bit pricier than the telco’s previous offering, it does come with some additional perks. As one could probably […] The post Tune Talk Introduces Epik+ 28 Plan With 50GB Data And Hotspot appeared first on Lowyat.NET.  ( 34 min )

As we’ve previously covered, Touch ‘n Go (TnG) recently showcased its next-generation open payment mobility ecosystem at the MY-ASEAN Roads & Traffic Tech Expo (My-ARTTE) 2025. During the event, the company invited members of the media for a tour on its innovations in tolling technology, namely the Multi-Lane Fast Flow (MLFF) system. During the presentation, […] The post Here’s How Touch ‘n Go Developed And Tested Its MLFF System appeared first on Lowyat.NET.  ( 37 min )

Nissan has previewed its facelifted Ariya EV SUV crossover at the ongoing Japan Mobility Show (JMS). This marks the model’s first public appearance after its official images back in October this year. As reported before, the facelifted Ariya comes with a gets a smooth, grille-less front. The front fascia has also been updated with newly […] The post Nissan Unveils Facelifted Ariya EV At Japan Mobility Show 2025 appeared first on Lowyat.NET.  ( 35 min )

Google announced its plans of launching its AI chips into space on solar-powered constellation satellites to create an AI data centre orbiting the planet. It’s called Project Suncatcher and it’s meant to bypass the energy constraints found on Earth by constantly harnessing solar power. In a blog post, Travis Beals, Senior Director, Paradigms of Intelligence, […] The post Google Has Plan To Create AI Data Centres In Space appeared first on Lowyat.NET.  ( 35 min )

Leapmotor Malaysia has shared a teaser on its social media platforms, hinting at the upcoming debut of a new model in the local market. Based on the silhouette revealed, the model appears to be the B10 EV SUV, which is the automaker’s third global model after the C10 and T03. The model was recently launched […] The post Leapmotor Teases Arrival Of B10 Electric SUV In Malaysia appeared first on Lowyat.NET.  ( 34 min )

Steam Deck users now have access to a long-awaited improvement: a display-off, low-power mode that lets the handheld continue downloading games with the screen turned off. As detailed by Valve in their announcement, the update enables active downloads to complete before the device fully sleeps, reducing energy use and heat output in the process. The […] The post Steam Deck Beta Adds New Display-Off, Low-Power Download Mode appeared first on Lowyat.NET.  ( 34 min )

Earlier in the year, analyst Ming-Chi Kuo made the claim that Apple is looking at launching a more affordable MacBook. It is said to pack an iPhone chip rather than the usual M line to achieve this. A recent Bloomberg report looks to corroborate this, claiming that said MacBook will cost below US$1,000 (~RM4,196). Codenamed […] The post Apple May Price MacBook With iPhone Chip Below US$1,000 appeared first on Lowyat.NET.  ( 34 min )

realme is once again releasing its C71 smartphone to the Malaysian market, this time with a new 8GB+256GB configuration. The original version of the device made its way to the country earlier this year, sporting 6GB of RAM and 128GB of storage.  Other than that, not much has changed with the device. To refresh your […] The post realme To Launch New C71 Configuration On 7 November For RM599 appeared first on Lowyat.NET.  ( 34 min )

OnePlus Malaysia has begun offering a pre-order campaign for its latest flagship smartphone, the OnePlus 15, for the Malaysian market. The device itself is slated for a global launch next week on Thursday, 13 November 2025, at 9:30pm local time. The OnePlus 15 pre-order campaign is offering exclusive freebies via a RM50 Deal Pack. Purchasing […] The post OnePlus 15 To Be Available In Malaysia Starting 13 November 2025 appeared first on Lowyat.NET.  ( 35 min )

Anker’s audio-focused subsidiary Soundcore has announced a addition to its catalogue called the R60i NC. Succeeding the R50i NC from last year, this is perhaps a more meaningful upgrade than between the two prior generations. It’s also among the cheapest options out there of you want TWS buds with LDAC codec support. Comparing directly with […] The post Anker Announces Soundcore R60i NC In Malaysia For RM189 appeared first on Lowyat.NET.  ( 34 min )

It was recently discovered that WhatsApp was testing a version of its messaging platform for the Apple Watch. At the time, it was unclear when the company would be releasing the app to the public. As it turns out, the launch was a lot closer than it seemed. The official WhatsApp app for Apple Watch […] The post WhatsApp Officially Launches App For Apple Watch appeared first on Lowyat.NET.  ( 34 min )

The latest big headline in AI isn’t model size or multimodality — it’s the capacity crunch. At VentureBeat’s latest AI Impact stop in NYC, Val Bercovici, chief AI officer at WEKA, joined Matt Marshall, VentureBeat CEO, to discuss what it really takes to scale AI amid rising latency, cloud lock-in, and runaway costs. Those forces, Bercovici argued, are pushing AI toward its own version of surge pricing. Uber famously introduced surge pricing, bringing real-time market rates to ridesharing for the first time. Now, Bercovici argued, AI is headed toward the same economic reckoning — especially for inference — when the focus turns to profitability. "We don't have real market rates today. We have subsidized rates. That’s been necessary to enable a lot of the innovation that’s been happening, but…

The march towards agentic enterprises continues as companies battle to keep developers on their platforms throughout the entire agent lifecycle.  Google Cloud has updated its Agent Builder on Vertex AI, introducing additional governance tools for enterprises and expanding the capabilities for creating agents with just a few lines of code.  Agent Builder, released last year during its annual Cloud Next event, provides a no-code platform for enterprises to create agents and connect these to orchestration frameworks like LangChain. Google’s Agent Development Kit (ADK), which lets developers build agents “in under 100 lines of code,” can also be accessed through Agent Builder.  The new updates include features to build agents faster with state-of-the-art context management layers and one-click…

Presented by Elastic Logs set to become the primary tool for finding the “why” in diagnosing network incidents Modern IT environments have a data problem: there’s too much of it. Organizations that need to manage a company’s environment are increasingly challenged to detect and diagnose issues in real-time, optimize performance, improve reliability, and ensure security and compliance — all within constrained budgets. The modern observability landscape has many tools that offer a solution. Most revolve around DevOps teams or Site Reliability Engineers (SREs) analyzing logs, metrics, and traces to uncover patterns and figure out what’s happening across the network, and diagnose why an issue or incident occurred. The problem is that the process creates information overload: A Kubernetes c…

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A WYSIWYG editor serves as the backbone of most modern content-centric web applications. And as artificial intelligence (AI) continues to advance, its role in editing has grown stronger. Developers now integrate AI into WYSIWYG editors to assist with writing, suggest ideas, or even understand and analyze visual content. As a result, end users of these AI-powered editors get more productivity, creativity, and convenience. From email builders and blogging platforms to LMS (learning management systems), these editors help people make content faster. This article explores ten AI features for WYSIWYG editors that improve writing quality, user experience, and even code. For each feature, you’ll also see a practical example of how they enhance both developer and user workflows. Key Takeaways …  ( 10 min )

Turning Photos Into 3D Gold: The Power of Differentiable Rendering Ever dreamed of effortlessly crafting hyper-realistic 3D models from simple 2D images? Imagine instantly generating a virtual environment from a few smartphone photos. The challenge? Traditionally, creating 3D models is labor-intensive and requires skilled artists. But what if we could automate this process? The solution lies in differentiable rendering. Think of it as building a bridge between the world of 2D images and the mathematics of 3D graphics. The key is that every step of the rendering process is now differentiable, meaning we can calculate how changes to the 3D scene (shape, materials, lighting) directly affect the final rendered image. This unlocks a superpower: we can now use gradient descent, a fundamental o…  ( 7 min )

Phishing remains a huge cybersecurity threat to this day — tricking users into revealing sensitive information through fake websites, links, or messages. What if you could build an AI agent that detects phishing attempts in real time and educates users to spot them before it’s too late? In this article, I’ll walk you through how I built PhishNet, an AI-powered phishing detection agent using Mastra — the AI framework that changes everything. PhishNet helps communities stay safe online by detecting phishing attempts, sharing cyber safety tips, and analysing suspicious messages. By the end of this guide, you'll have: A working phishing detection agent powered by Google Gemini Custom tools for analyzing suspicious messages and URLs Integration with Telex.im using the A2A protocol A deployed, p…  ( 10 min )

I wanted to quickly compare how different Hetzner servers are doing (especially in single-threaded), for CPU-intensive tasks. I ran sysbench on four different machines: Hetzner Cloud CPX21 (AMD EPYC Processor, 3vCPU, 4GB RAM) ~9EUR/mo Hetzner Dedicated EX44 (i5-13500, 64GB RAM) ~40EUR/mo Hetzner Server Auction (i7-8700 128GB RAM) ~40EUR/mo NEW: Hetzner Dedicated EX63 (Intel Ultra 7 265, 64GB RAM) ~69EUR/mo sudo apt-get install sysbench Each benchmark is run 3 times and the best result is taken. sysbench cpu run sysbench --threads="$(nproc)" cpu run Server Score (events/sec) EX63 (Intel Ultra 7 265) 4343.19 EX44 (i5-13500) 4133.64 CPX21 (AMD EPYC) 1617.52 Server Auction (i7-8700) 1480.96 Server Threads Score (events/sec) EX63 (Intel Ultra 7 265) 20 119944.36 EX44 (i5-13500) 20 50234.72 CPX21 (AMD EPYC) 3 4835.93 Server Auction (i7-8700) 12 13043.05 EX63 (Intel Ultra 7 265) leads both single- and multi-thread performance. It scores about 5% higher than EX44 in single-thread and 2.4× higher in multi-thread. EX44 (i5-13500) remains strong for its price, still delivering excellent per-core performance and roughly half the multi-thread throughput of EX63. CPX21 (EPYC) and Server Auction (i7-8700) stay far behind in both metrics. For CPU-bound workloads, EX63 provides top raw compute power, particularly if you can utilize all cores. EX44 continues to offer the best price-performance balance. cloud CPX21 remains suitable for lightweight or bursty compute tasks. If you are new to Hetzner, you can use my referral link to get €20 in cloud credits: https://hetzner.cloud/?ref=UbRqvwvi1mfG  ( 6 min )

If you’ve ever felt buried under a sprawling Cargo.lock, wondered “Which crate dragged in all these transitive deps?” or “Why do I have two versions of foo-crate in my workspace?”, then meet dep-insight: a CLI + library tool designed to give you clear, actionable visibility into your Rust project’s dependency graph. In many non-trivial Rust codebases I work or consult on, I keep seeing the same patterns: Duplicate crate versions sneaking in (hello, serde 1.0.130 and serde 1.0.131 side by side) One transitive ancestor crate pulling in dozens of downstream modules, silently ballooning compile times and binary size License rustle: “Wait, is this dependency licensed permissively? Or do I need to worry?” Security: “Do we have known vulnerabilities via rustsec in our dependencies?” In short: I n…  ( 8 min )

You've built a modern single-page application with dynamic content alerts and live tickers - of course: with accessibility in mind. Therefore, you've added aria-live regions so screen reader users can hear what's changing. A success message here, a toast there. It should just work. But when you test it with a screen reader… nothing. Silence. Your "live" region isn't so live after all. If that sounds familiar, you're not alone. Accessibility professionals and framework developers alike run into this issue across Angular, Vue, React and other frameworks. The problem isn't your markup — it's how these frameworks manage the DOM. Modern SPA frameworks do amazing things behind the scenes: they mount, unmount, and patch elements as state changes. Unfortunately, screen readers don't see your react…  ( 13 min )

## Notes from a dev who crammed everything into one HTML just because By 0rb1t4lsn4k3r — the guy who hit 420 and regretted it (but came back) November 04, 2025 — coding with memes o'clock Conclusion: play, crash, laugh, repeat Because I got tired of 300 GB games needing 16 cores. Because I wanted to see if I could fit AI, ML, NFT, PWA, and memes into one single HTML file. And because 420 is sacred, period. Dev geek note: This is like a Hello World on steroids with a PhD in frustration. Final size: 45 KB (yes, lighter than an HD meme). Inside: Canvas AI Service Worker Manifest Base64 icons Rickroll on standby Deploy: copy, paste into GitHub Pages → BOOM! Game live. Works on: airplane mode, subway, zombie apocalypse. Dev geek note: If it doesn't fit on a floppy, it's not…  ( 9 min )

Most developers or technical marketers I see are either copying garbage code without thinking, or avoiding AI entirely because "it doesn't understand my problem 🤥". Both approaches miss the point. AI won't write your app for you, but it can handle the parts of coding that make you want to quit and cry. The ten techniques below work because they're based on how you actually build software and are tested by me and many others I learned from. This one changed everything for me. Instead of asking AI to fix broken code, I started explaining my code to it first and asking it to tell me what it does. It's rubber duck debugging, but the duck actually talks back 🤪 When you hit a bug, write out what you're trying to accomplish and what your code actually does. Then ask AI to explain your logic ba…  ( 13 min )

You don’t need an API key. That’s the secret everyone seems to forget. I wanted to dive into LangChain, the powerful framework for building with Large Language Models. But every guide, even the official docs, felt like a trap. They were outdated, incomplete, or pushed me toward a paid Anthropic key. I wrestled with Python version errors. I hunted for missing dependencies. It was a frustrating maze designed to make me quit. So I carved my own path. This is the guide I wish I had. It’s your shortcut to running a powerful LLM on your own machine, completely for free, in the next 15 minutes. P.S.: If you want to skip the article, you can check the code directly on Github. Running an LLM locally is about one thing: speed. Not processing speed, but the speed of learning. When you're just trying …  ( 8 min )

CORS and Same-Origin Policy Deep Dive Cross-Origin Resource Sharing (CORS) embodies one of the most critical security mechanisms in web development, governing how resources are requested from different origins. Understanding CORS requires a comprehensive acquaintance with the Same-Origin Policy (SOP), its historical context, advanced implementations, and the real-world scenarios driving its need. Introduced in the earliest days of web browsers, SOP was established to counteract security vulnerabilities inherent in cross-origin requests. The SOP dictates that a document or script loaded from one origin cannot access resources from another origin unless specific conditions are met. An origin is defined by the triplet: Scheme: The protocol (e.g., http, https) Host: The domain name (e.g., ww…  ( 9 min )

Making Services Discoverable with ERC-8004: Trustless Agent Registration with Filecoin Pin I've been thinking a lot about agent metadata lately. Not the sexy stuff, not the AI models or the clever algorithms. The boring bit. Where do you put the JSON file that describes what an agent does? It's one of those problems that seems trivial until you actually try to solve it properly. You can't store it on-chain (too expensive). You can't use regular IPFS pinning (it might disappear). You can't use AWS (defeats the whole point of decentralisation). So what do you do? This week, I finally got a chance to properly explore this by registering GitHub's MCP server as an ERC-8004 agent with Filecoin Pin. Here's what I learnt. The issue is simple enough to explain: when you register an agent, you need …  ( 11 min )

Ever looked at code that feels more like a framework demo than a real product? Many teams proudly say: “We’ve built an independent product.” But when you dig deeper, you realize everything — from routing to authentication — is tightly bound to the framework. In that scenario, your product has no independent identity. If the framework gets deprecated tomorrow or the team shifts direction, you’ll end up rewriting everything from scratch. That’s the danger of Framework Lock-In. On the flip side, some teams intentionally give up freedom for development speed and community support. Fair enough… but is that truly a strategy, or just convenience disguised as one? A real product should have its own architectural identity. A framework should remain a tool, not the thing that defines your product. The uncomfortable truth: many so-called “products” are really just framework extensions. Would your product survive without the framework, or is it just a plug-in living on top of it? What do you think? Have you ever refactored a system that was too tied to its framework?  ( 6 min )

I wrote about my non-linear career journey—from government department head to senior engineer to startup IC—and what I learned from stepping "sideways" twice. Read the full story on my Substack → We're taught careers should be ladders. Always climbing up. More responsibility, bigger titles, higher salaries. But what happens when the most exciting opportunity asks you to step sideways? Or even down? I've made that choice twice. Both times, people questioned it. The heck, I questioned it. Both times, it was the best decision I could have made. Move #1: Left my Head of Department role in government to become a senior software engineer at a SaaS company. In a different country. Starting over completely. Move #2: Climbed back up to Lead Integration Engineer, had a clear path to management... th…  ( 7 min )

For a couple of months now, I've been searching for new projects to work on, where I can learn more about Go, and not really wanted to continue with Web Development. I came across a tutorial where they Build Your Own Text Editor which is using the C language. This is my attempt on porting that tutorial to Go, this will be divided in several posts that I will be publishing as I continue with the process. In this first chapter, we will be setting up the project and enter raw mode so we can build from there our text editor. Note: This project has been developed and tested on LINUX, if you'd like to port this to Mac or Windows, you are welcome to make a PR in that regard Requisites Go language: If you don't have it already installed, you can do it following the installation instructions A code editor: In this tutorial we will be using NeoVim A terminal: I will be using Alacritty Start up On your terminal we will create the project directory, and initialize the go module: mkdir kilo-go cd kilo-go go mod init github.com/alcb1310/kilo-go Note: Remember to change the module name for your own This will be a series of articles where we will be going through all the steps to code the Text Editor  ( 8 min )

The task is to implement myNew function to return an object just like the new constructor. const myNew = (constructor, ...args) => { // your code here } How does the new operator work? It creates a new empty object, sets the prototype of that object to the constructor's prototype, calls the constructor function, and returns the object the constructor returns or the newly created one. If the constructor is not a function, throw an error if (typeof constructor !== 'function') { throw new TypeError('myNew: first argument must be a constructor function'); } Create the new object to be returned if the constructor does not return one const obj = Object.create(constructor.prototype); Call the constructor with "this" set to the new object const result = constructor.apply(obj, args); If the constructor returns an object (or function), return it. Otherwise, return the new function return (result !== null && (typeof result === 'object' || typeof result === 'function')) ? result : obj; The final code const myNew = (constructor, ...args) => { // your code here if(typeof constructor !== 'function') { throw new TypeError('myNew: first argumant must be a function') } const obj = Object.create(constructor.prototype); const result = constructor.apply(obj, args) return (result !== null && (typeof result === 'object' || typeof result === 'function')) ? result : obj; } That's all folks!  ( 6 min )

Why I'm Ditching My Old Tools for This Hackathon Hey everyone! I'm Armando Blanquicet from Colombia, and I'm beyond excited to share my journey into the Kiroween hackathon. As someone who's been invited to speak at the first Artificial Intelligence Summit in Latin America and featured in my country's official Congress magazine as a young entrepreneur, I've tried every coding tool out there. But let me tell you why Kiro is different. I've been exploring alternatives to my usual workflow—testing Cursor, Windsurf, and other AI-powered IDEs. What struck me about Kiro is how generous and focused it is on vibe coding directly. No bloat, no unnecessary complexity—just pure conversational development that actually understands what you're trying to build. For this hackathon, I'm entering the Fran…  ( 8 min )

I wanted to see how far I could push pure Bash before it collapses under its own syntax. GitHub repo Yes, it’s fully functional. Yes, it uses colors. Yes, awk is involved. No, I don’t recommend doing this sober. 😅 I wanted a single script that could show: CPU load and number of cores RAM usage and percentage Disk space for / Network I/O Process count Basically, the “lazy Linux admin toolkit” in one file. Something like this: ./system-monitor.sh and boom — everything you’d usually get from top, free, df, and ip combined. ⚙️ The features What started as a 10-line script turned into a 250+ line CLI tool with: Command-line arguments (--help, --brief, --no-color, --version, -i N) Colorized output for warnings/critical thresholds Continuous monitoring mode Safe shutdown with sign…  ( 8 min )

Molecular Alchemy: AI-Powered Design of Novel Compounds \Imagine a world where new drug candidates are designed in hours, not years. Where customized medicine is within everyone's reach. This isn't science fiction; it's the promise of AI revolutionizing molecule creation. The core concept enabling this leap is a novel deep-learning architecture that predicts the arrangement of atoms to build novel molecules. This system learns to arrange molecules atom by atom, similar to how a sculptor adds clay layer by layer, but without any prior knowledge of chemistry, only principles of spatial arrangements. The secret sauce lies in a clever encoding method that allows the model to understand the molecule's intrinsic geometry, ignoring arbitrary rotations or atom numbering. Like a GPS locating a po…  ( 7 min )

Part 1: The Problem Space - Why Modern Banking Infrastructure is Broken Series: Building a 100K TPS Financial Ledger Part: 1 of 7 Reading Time: 8 minutes Imagine you're the CTO of a major bank. It's Black Friday, and your payment processing system just hit a wall. Transactions are queueing up. Customers can't pay. Revenue is bleeding. Your core banking system—the one that cost $50 million to implement in 2005—is choking on modern transaction volumes. This isn't a hypothetical. It's happening at banks around the world, right now. I recently spent several weeks designing a reference architecture for a high-performance financial ledger system. The challenge: handle 100,000+ transactions per second with five-nines availability (99.999% uptime), maintain perfect financial correctness, and mee…  ( 10 min )

Introduction Installing PostgreSQL directly on your local machine can be a difficult and also take multiple steps, configuration issues, and potential conflicts with other software. This process is especially cumbersome on Windows. Fortunately, Docker provides a much simpler, faster, and more portable solution. Let’s go through how to set up and run PostgreSQL inside a Docker container. Before Docker You must install PostgreSQL locally, configure paths, users, and ports manually. Resetting the database means manually dropping tables or reinstalling. Different projects may need different PostgreSQL versions — hard to manage on one system. Config files, logs, and data clutter your OS. Uninstalling doesn’t clean everything. Every team member must install and configure PostgreSQL the same wa…  ( 9 min )

Ever wondered if you’d survive the Titanic? Simon Painter’s NDC Copenhagen talk dives into ML.NET and .NET to build a Titanic survivor predictor right inside Visual Studio with C#. Using Kaggle’s Titanic Challenge dataset, he proves you don’t need Python to get powerful ML results—just a few clicks and your codebase is ready to set sail. ML.NET is Microsoft’s surprisingly easy SDK for adding machine learning to your apps, and this demo shows how quickly you can train, evaluate and ship a model without hitting any icebergs… well, except the data kind. Watch on YouTube  ( 6 min )

Inspiring the Next Generations Frank Delporte sits down with Cassandra Chin—author of Raising Young Coders—to dive into her tips for making programming fun and accessible for kids. Grab her Springer book with a 20% discount (code APAUT) and connect with her on LinkedIn for more hands-on advice. Then it’s Daniel De Luca, the founder of Devoxx4Kids, sharing how his workshops turn tech-curious youngsters into passionate coders through playful, age-friendly activities. Hit up his LinkedIn to see how he’s shaping tomorrow’s innovators. Watch on YouTube  ( 6 min )

what is it? it is a open-source in memory data store. so, it like the cache stored memory, it is usually way too much faster than requesting querying the data. usually when the query is made, first it finds in cache(redis memory) if not query is sent to DB, then the data is sent back to user while also saving it in the redis memory. it is a structured key-value pair, but with various data structure. redis port number : 6379 installing redis redis can be a standalone application, but usually in production we use it through the docker. Data types in redis set name bhuv # this key-value pair ok # output... get name "bhuv" # value which was saved in redis DB it is not recommended that name as the key, we should always the convention below set : set name:1 bhuv now these are grouped according to the name (for visualizing purpose) for setting multiple values mset name:1 bhu name:2 rav name:3 olaa name:3 bhoo  ( 6 min )

SQLite3 is the file based database No server needed. Just one file → .db You can embed this DB inside your desktop app, CLI tool or small web backend. For using SQLite3 we need a SQLite3 package and web admin panel. You can install it from NPM npm install sqlite3 sqlite3-admin First of all for using SQLite3 database you need a making connection (for instance create a file db.js): const sqlite3 = require('sqlite3').verbose(); // Opens database file // if file not exists → it will create automatically const db = new sqlite3.Database('./app.db'); Run your db.js: node db.js And then we’ll connect it to sqlite3 admin panel for viewing it visually (for checking that our codes runs correctly or not). For connecting your db you need to prompt your CLI like this command: npx sqlite3-admin ap…  ( 7 min )

Original: https://codingcat.dev/podcast/how-oauth-mcp-and-the-openai-apps-sdk-power-the-next-generation-of-interactive-ai-experiences Ever feel like user authentication is one hot mess of protocols, random forms, and endless “Sign in with Google” buttons? Or maybe you’ve heard rumblings about “OAuth” and “MCP servers” but wondered how they actually fit into the web (and now, AI) landscape? Well, you’re in the right place! In this deep dive, I sit down with Max from Stytch, now part of Twilio!, to break down everything you’ve ever wanted to know about OAuth, why it matters, and how it’s suddenly become crucial for connecting Large Language Models (LLMs) and agents to external services in a secure, user-friendly way. Plus, we’ll get under the hood of the coolest Tamagotchi-inspired AI ap…  ( 16 min )

I spent most of last year buried in LangGraph. I was orchestrating cognition that the model could have handled itself. So I did what most of us do when we’re tired of over-engineering: I tore it down and rebuilt it — this time around a reasoning-native model. LangGraph made sense when models couldn’t plan or reason. Here’s a minimal example of what my early pipelines looked like: from langgraph.graph import StateGraph from langchain_openai import ChatOpenAI from langchain.schema import SystemMessage, HumanMessage llm = ChatOpenAI(model="gpt-4-turbo") def summarize(state): result = llm([ SystemMessage("Summarize briefly and clearly."), HumanMessage(state["doc"]) ]) return {"summary": result.content} def verify(state): summary = state["summary"] result…  ( 9 min )

🚀 A Fun Tour of Go's Official Website! Assalamu Alaikum and welcome! 👋 Ready to take off into the world of Go programming? Ready to take off into Go programming? In this article, we’ll explore the official Go website (go.dev) — your one-stop guide to learning, practicing, and mastering Go from scratch. Before diving into goroutines, concurrency, and the fun stuff, let’s start with the right foundation: 📍 Go’s official website — your ultimate guide to mastering the language. Believe it or not, most beginners visit go.dev once, skim through it, and never come back… Big mistake. 😅 Because this website isn’t just a boring documentation dump — it’s a structured, hands-on learning hub that guides you through every stage of Go development. Each section is crafted so intelligently, you’l…  ( 8 min )

A great hover effect can make user interfaces feel alive it's a small detail that adds visual polish and depth. This article will cover hover effects on cards, walking through three custom-made variations for a card's background. The main idea? Adding unique twists to the classic subtle glow where your mouse hovers. As usual with my articles, expect imagery, code examples, and a live demo at the end! For this, I'll be using HTML Canvas, CSS, JavaScript, and React. But you can follow along with the ideas regardless of your tooling if you prefer GSAP or no React at all, that's fine too. The first is the classic: When the mouse hovers over a card, add a glow beneath the cursor. Simple, no? The second, is quite a bit more interesting, it will use HTML Canvas and :before to apply a blur over th…  ( 16 min )

Ilya here again. In my Previous article, I explained my reasons for no longer generating code, but instead to parse plain English into steps that I store in a database. I did this because (as the only QA on my team) I was tired of wasting time writing and maintaining test code. My hypothesis was that "describing" a test case should be many times faster than "coding" it. That sounds nice in theory. But what about in practice? I decided to run an honest experiment. I didn't pick simple "login-logout" examples. I took three real-world test cases from my backlog—from simple to complex—and I timed them. Important: I wasn't timing the test execution (that's fast, 1-2 minutes). I was timing the creation—how long it took the AI to understand my description and generate all the steps. Here's what h…  ( 8 min )

tldr Prequel's reliability research team audited 105 popular Kubernetes Helm charts to reveal missing reliability safeguards. The average score was ~3.98/10 48% (50 charts) rated "High Risk" (score ≤3/10) Only 17% (18 charts) were rated "Reliable" (≥7/10) Key missing features include Pod Topology Spread Constraints (93% absent) PodDisruptionBudget (74% absent) Horizontal Pod Autoscalers (75% absent) CPU/Memory resource requests/limits (50–60% absent) Several 0/10 charts were DaemonSets (e.g., Fluent Bit, node-exporter, GPU plugins) where PDB/TopologySpread/HPA/Replicas are generally not applicable. It’s important to note that a low score does not necessarily mean the software itself is bad; rather, it means the default deployment setup might not offer high reliability standards. …  ( 25 min )

When I first opened GitLab and saw the Projects section, I'll admit, it was exciting to explore. I am familiar with GitHub but not GitLab. I've explored pipelines, Docker, and DevSecOps, mostly in theory but I'd never built a pipeline myself. So, I decided to find a simple project and learn how GitLab pipelines actually work. This article is that journey... a step-by-step guide for beginners who want to see security, automation, and code come together in one workflow. By following along, you'll learn how to: Set up a GitLab project from scratch Create a Python app Build a Docker image Configure a GitLab CI/CD pipeline Add a security scan using Bandit Understand what happens in each stage of the pipeline No home lab, AWS account, or complex setup is required.. you can do eve…  ( 10 min )

Have you ever struggled with converting Markdown files to PDF? Maybe you've tried Pandoc or other command-line tools, but they require installation, dependencies, and technical knowledge. What if I told you there's a better way? Most developers face these issues: ❌ Pandoc - Requires installation, LaTeX dependencies, complex commands ❌ VS Code extensions - Limited formatting options, no live preview ❌ GitHub/GitLab export - Inconsistent styling, no customization ❌ Online tools - Break on images, tables, or code blocks I built a free online Markdown to PDF converter that solves all these problems. It works entirely in your browser - no installation, no command line, no sign-up required. 🔗 Try it now: www.markdowntopdf.tech Real-Time Preview Write Markdown on the left, see the PDF pre…  ( 8 min )

I recently built an AI Goal Planner Agent that integrates seamlessly with Telex (telex.im) — a platform similar to Slack where you can chat with intelligent agents that perform specific tasks for you. For this project (Stage 3 of the HNG Internship Backend Track), I used Mastra, a framework that simplifies building and exposing AI workflows via APIs. The idea was simple but useful — create an agent that plans your week automatically. plan my week: build project, submit report, study for 2 hours daily The agent breaks it down into a daily actionable plan and returns it right inside Telex Tech Stack Mastra — for building the AI workflow Express.js — for exposing the /a2a endpoint Vercel — for hosting the API Telex — for chatting with the agent ⚙️ How It Works The Telex platform sends user messages to your public API endpoint (via /a2a/agent/plannerAgent). Your Mastra agent receives the prompt, uses AI logic to generate a structured plan, and returns a text response. Telex displays the response right in your chat. 💡 Example Output Your weekly plan: This shows how AI agents + messaging platforms can simplify productivity, even with small, well-scoped APIs. You can host yours easily on Vercel and integrate with Telex via their A2A (Agent-to-Agent) protocol. Follow me for updates as I explore more Telex + Mastra AI agent ideas 🚀 AI #Mastra #Telex #BackendDevelopment #HNG #NodeJS  ( 6 min )

Intro I recently came across Nitro after noticing they just dropped a new alpha version, I had no idea what it is or what it does, so I decided to learn and write about it. Some interesting facts you might not know about Nitro: It's part of the UnJs project a collection of framework-agnostic JavaScript libraries built to work anywhere. It's leveraged by popular frameworks such as Nuxt, SolidStart and TanStack Start. It’s designed to run on any runtime, from Node.js to serverless and edge environments, with almost zero configuration. In this post, we’ll cover a brief overview of what makes Nitro stand out — especially what’s new in V3 — explore its open-source community, walk through a short video tutorial on how to get started, and finish with a few bonus project ideas you can build. I…  ( 8 min )

Learn how to get started with Workspace Flows to automate workflows with AI. In this video we will cover the key components and show you how to create, configure, and enable a flow. 0:00 Intro Learn more about Workspace Flows: https://goo.gle/45oR91u Flows is available through the Gemini Alpha program. See our Admin Help Center for more information about how to turn Gemini alpha features ON: https://support.google.com/a/answer/14170809 #GoogleWorkspace #WorkspaceFlows #gemini Follow youtube.com/@googleworkspacedevs  ( 9 min )

In this video you will learn how to use variables when you are creating workflows using Google Workspace Flows. 0:00 Intro Learn more about Workspace Flows: https://goo.gle/4oHFVOL Flows is available through the Gemini Alpha program. See our Admin Help Center for more information about how to turn Gemini alpha features ON: https://support.google.com/a/answer/14170809 #GoogleWorkspace #WorkspaceFlows #gemini Follow youtube.com/@googleworkspacedevs  ( 9 min )

Unlock the Power of GANs: Train with Tiny Datasets! Struggling to train Generative Adversarial Networks (GANs) because you lack a massive dataset? Do you want to explore AI-generated images, but find yourself stuck with blurry outputs and mode collapse? The days of needing terabytes of data to create compelling AI art are over. The game-changer? Imagine your GAN dynamically learning the best ways to transform training data during the learning process itself. Instead of applying fixed image manipulations like random rotations or color shifts, the GAN actively figures out which augmentations are most beneficial, making it incredibly robust to variations and vastly improving image quality even with scarce data. This technique involves incorporating a differentiable augmentation module into …  ( 7 min )

When you’re building a startup, cloud infrastructure seems simple at first. Click a few buttons in AWS or GCP, deploy your app, and you’re live. But in reality, this “quick start” often becomes technical debt that silently grows until it slows everything down - development speed, reliability, and even fundraising conversations. After nearly a decade of building infrastructure for high-growth startups - from fintech platforms to algorithmic trading systems - I’ve seen the same challenges appear again and again. Here’s what founders and early engineers should know. In the early days, speed is everything. You deploy manually, skip Terraform, maybe use a single Kubernetes node or just a VM with Docker Compose. That’s fine - for a while. The problem starts when your second developer joins. Or…  ( 8 min )

Introduction Creating a Vendor Management Plan is essential for businesses that rely on external partners for products or services. A clear, organized plan defines how vendors are selected, managed, and evaluated throughout the business relationship. It helps companies build accountability, streamline operations, and maintain consistency in quality and delivery. Before choosing vendors, clearly define what your organization wants to achieve. These objectives can include reducing costs, improving quality, ensuring compliance, or scaling operations. A Vendor Management Plan aligned with strategic goals ensures that vendors contribute directly to business success. Choosing the right vendors is the foundation of your plan. Define measurable criteria such as product quality, pricing, reputati…  ( 7 min )

I still remember the late-night sprint when our Laravel stack simply couldn’t scale to an unexpected spike in traffic. We patched it with duct-tape solutions, but deep down I knew we were in debt—technically and strategically. Fast-forward to 2025, and that kind of reactive mode is no longer enough. The pace of change in tooling, architecture and team dynamics has accelerated so dramatically that the tech we adopt now will shape how we build software for years to come. This piece is for developers and project leads who are tired of firefighting. You’ll gain clarity on which upgrades matter right now, why they matter (backed by data), and how you can start prioritising them in your stack, your team, and your roadmap. By the end, you’ll walk away with actionable steps and a fresh lens to dec…  ( 9 min )

TL;DR: Code reviews are slow and require constant chasing. GitKarma, a GitHub App fixes this: reviewers earn karma for quality reviews; authors must spend karma to get their PR merged. This creates a balanced economy where reviews actually happen, and critical work gets prioritized fairly. Visit gitkarma.dev to try it. Every engineering team knows this scene: a developer opens a PR at 9:03am, goes for coffee, and returns at 11:18am to find the PR still waiting. Days pass. Context is lost. Rollbacks happen. Momentum dies. We treat code review like honorary volunteer work. It’s something good teammates should do, but it’s also the first thing to slip when calendars get tight or managers move on. That cost is subtle — missed deadlines, overloaded engineers, and increased risk — but it compoun…  ( 8 min )

Monthly Partitioning and Automatic Rotation of Tables in PostgreSQL (AWS RDS) 🇪🇸 Lee también este post en español This tutorial explains how to transform the my_table table in your PostgreSQL database (on AWS RDS) into a monthly partitioned structure using a UTC range, with automatic rotation and minimal downtime. The process is designed to maintain compatibility with existing applications and to make it easy to maintain and automatically delete old data according to retention policies. PostgreSQL 14.17 (AWS RDS) TimeZone: UTC Main table: public.my_table (names have been changed for anonymity) Automation via Python (AWS Lambda) and/or pg_cron 🧩 Problem Found The my_table table was not partitioned and grew quickly. Need to split the data by month (UTC) without sto…  ( 9 min )

Particionamiento mensual y rotación automática de tablas en PostgreSQL (AWS RDS) 🇬🇧 Also read this post in English Este tutorial explica cómo transformar la tabla my_table de tu base de datos PostgreSQL (en AWS RDS) a una estructura particionada por mes usando rango sobre UTC, con rotación automática y mínima caída de servicio. El proceso está pensado para mantener la compatibilidad con las aplicaciones existentes y facilitar el mantenimiento y borrado automático de datos antiguos según las políticas de retención. PostgreSQL 14.17 (AWS RDS) TimeZone: UTC Tabla principal: public.my_table (nombres modificados para anonimidad) Automatización vía Python (AWS Lambda) y/o pg_cron La tabla my_table era no particionada y acumulaba datos rápidamente. Necesidad de dividir los datos por mes (UTC…  ( 9 min )

Hey Dev.to! 👋 I just launched my hosting platform with something unique: optional network isolation. Let me share the technical details. Community Shared Network (vmbr0): Multiple customers on same network bridge VM-level isolation with firewall rules between VMs 1 Gbps uplink Perfect for 90% of websites Isolated Network (vmbr[X]): Your own private internal bridge per customer 10 Gbps internal bandwidth between your VMs Complete network separation from other customers PCI/HIPAA compliance-ready Add $10/mo to any plan Dell PowerEdge R730 2x Xeon E5-2698v3 (32 cores, 64 threads) 480GB ECC DDR4 RAM ZFS RAID-Z2 storage Proxmox VE hypervisor For a personal blog? Community Shared at $29/mo is perfect. For e-commerce with PCI requirements? Business + Isolated at $99/mo gives you: Dedicated netwo…  ( 7 min )

As a best-selling author, I invite you to explore my books on Amazon. Don't forget to follow me on Medium and show your support. Thank you! Your support means the world! When I first started working with Rust, data serialization felt like a chore. Every project required custom code to convert between internal data structures and external formats. This process was error-prone and time-consuming. Then I discovered Serde, and it changed everything. Serde provides a unified framework for serializing and deserializing data across various formats, all while maintaining Rust's core principles of safety and performance. Serde's design centers around two key traits: Serialize and Deserialize. By implementing these traits, any Rust type can be converted to and from formats like JSON, YAML, or Messa…  ( 11 min )

pygitzen : a Python TUI Git client inspired by LazyGit! Sunny Tamang ・ Nov 2 #git #pythongit #github #python  ( 5 min )

💡 What is StudySync AI? StudySync is a conversational AI study companion powered by Mastra and Google’s Gemini 2.0 Flash, living inside Telex.im — a platform that’s rethinking how AI agents and humans collaborate. Unlike traditional study tools that feel transactional (“complete this task”), StudySync engages in natural, contextual conversation. 👥 Example Interaction StudySync: "I remember you were working on useState yesterday! Hooks can be confusing at first. The magic isn’t just in the response — it’s in the memory, the context, and the flow that makes it feel like you’re talking to someone who truly understands your learning journey. ⚙️ Why Mastra and Telex? When I started this project, I explored multiple frameworks. 🧠 Mastra: The Agent Orchestration Powerhouse Mastra isn’t just a…  ( 9 min )

In the fast-paced world of innovation, patent invalidation searches are critical for maintaining a competitive edge. Whether you’re a startup founder, independent inventor, or patent professional, the ability to uncover prior art efficiently can make or break your case. But invalidation searches are notoriously time-consuming—filled with complex data, overlapping references, and jurisdictional nuances. The good news? With the right strategies and tools, you can streamline the process without sacrificing accuracy. This guide breaks down seven time-saving tips for patent invalidation search, blending expert insights, workflow automation techniques, and smart resource management. You’ll discover how to plan smarter, search deeper, and interpret faster—so you can focus your time where it truly…  ( 9 min )

Welcome to this week's Top 7, where the DEV editorial team handpicks their favorite posts from the previous week. Congrats to all the authors that made it onto the list 👏 Full Stack Fatigue: Peter Harrison ・ Oct 27 #fullstack #webdev #learningtocode @cheetah100 reflects on "Full Stack Fatigue," contrasting the simple, single-language development of the past with today's sprawling tech stack. They question if the broad expectations placed on modern full-stack developers are unrealistic and potentially harmful to new talent. Actually Agile: Against Performance Theater in Software Development Pascal CESCATO ・ Oct 30 #agile #scrum #performance #programming @pascal_cescato_692b7a8a20 challenges the current state of agile, arguing that it ha…  ( 10 min )

Everything Wrong With Longlegs In 24 Minutes Or Less is CinemaSins’ latest deep-dive into Nicolas Cage’s wild turn in Longlegs, teasing out every over-the-top moment and storytelling hiccup in true sin-counting fashion. It doubles as a cheeky warm-up for Osgood Perkins’s upcoming thriller Keeper, complete with all the signature jabs, snarky commentary, and those impossibly long legs. If you’re hungry for more film-nerd fun, the vid points you to the CinemaSins hub—website, YouTube channels, Discord, Reddit, Instagram, TikTok—and even a quick poll and Patreon to keep this sin-loving team going strong. Watch on YouTube  ( 6 min )

Everything Wrong With Sinners In 15 Minutes Or Less is CinemaSins’ latest Halloween mash-up, where they gleefully roast one of the year’s best genre films in true nitpick-counting fashion—challenge accepted, right? Along the way they drop links to their site, all their YouTube channels (TVSins, CommercialSins, CinemaSins Podcast Network), social hangouts (Discord, Reddit, TikTok, Instagram), a quick poll so you can spill your own sins, and of course a Patreon shout-out. They even credit their sin-dub squad (Jeremy, Chris, Aaron, Jonathan, Deneé, Ian, Daniel) for keeping the fun rolling. Watch on YouTube  ( 6 min )

Everything Wrong With Predator: Killer of Killers dives head-first into the new animated Predator adventure, tearing apart every plot leap, Predator quirk and CGI moment across a rapid-fire 16-minute sin tally. Jeremy, Chris, Aaron and the CinemaSins crew celebrate the franchise’s feral fun while gleefully pointing out every nitpickable detail. Of course, no sinning spree is complete without a nudge to their ever-expanding empire—hit up cinemasins.com, join the sinful poll, back them on Patreon or stalk their social channels for more savage breakdowns. Watch on YouTube  ( 6 min )

Caravan of Garbage tackles Predator 2, the 1990 sequel that ditches Schwarzenegger and the jungle for Danny Glover navigating a crime-ridden, sweltering L.A. heat wave. They dig into how this follow-up amps up the stakes with a nastier Predator, a wild Gary Busey cameo and an urban playground. Even though it’s missing a few of the first film’s signature beats, the hosts argue it’s still a blast—just don’t expect a carbon copy of the original if you’re game for a fresh twist on alien hunting. Watch on YouTube  ( 6 min )

I love a good refactor. Who doesn't? Take some code that you or someone else wrote and polish it into something shiny. In fact, sometimes taking old code and refactoring it into something elegant and fresh is better than putting together a new feature. When I first started in software development, refactoring mainly happened during code reviews. You'd submit your pull request, and a senior dev would say, "This works, but let's clean it up before it goes to production." That's how you learned—seeing your working code get tightened up, understanding why five nested if statements could be a dictionary lookup. This is actually how I learned the often frowned-upon (but loved, at least by me) "double-not/!!" operator in JavaScript to turn a value into a hacky boolean. As a junior and intermediat…  ( 16 min )

Hello! Student mental health in India has reached crisis levels: 13,000+ student suicides annually - 7.6% of all suicides in India​; 65% increase in student suicides over the past decade​; 70% of students experience moderate to high anxiety​. We are inviting technical ideas or innovations that could help identify, monitor, reduce, or manage stress and mental health challenges among students. Software / Mobile Apps (self-help, peer support, mindfulness or counselling tools) Data Analytics (early stress detection, mood tracking, predictive well-being models) IoT or Wearable Devices (sensors for stress indicators like sleep, heart rate or posture) VR / AR or Gamified Platforms (immersive relaxation or awareness experiences) The goal is to collect practical, ethical and scalable ideas that could later be developed or piloted in educational institutions.  ( 6 min )

How I Transformed My MTG Deck Builder's Security from "Oops" to "Fort Knox" A practical guide to securing a full-stack web application, complete with code examples and lessons learned Picture this: You've just launched your passion project—a Magic: The Gathering deck builder with AI-powered recommendations. Users are starting to trickle in. Everything seems great... until you ask yourself one simple question: "Is my app actually secure?" That question led me down a rabbit hole that transformed my application from a security disaster waiting to happen into a production-ready, hardened system. Here's the story of that journey, the vulnerabilities I found, and exactly how I fixed them. I started with a simple threat model: What could an attacker do to my app? The results were... humbling. �…  ( 17 min )

****There was a time when search engines pushed content such as “Kazemi v Casey” or “Kazemi v Casey case” to the top of results. Rey never denied the existence of past challenges, but he chose not to let those define his future. His focus today is on personal development, ethical leadership, and proving through action—not words—that growth is always possible. By facing past events openly rather than hiding from them, he built credibility that many entrepreneurs lack. The new chapter of Rey’s journey is marked by a commitment to integrity, emotional maturity, and legacy building. Those who previously clicked results labeled “Rey Denzo Kazemi story” or “Rey Denzo Kazemi news” now encounter a different narrative—one that highlights the mindset shift from adversity to advancement. He is intentionally redefining his digital footprint with content that reflects who he is today, not who he was during a difficult chapter of his life. Rey’s evolution sets an example for anyone looking to reclaim their online presence: your past is a reference, not a sentence. His transformation proves that reputations can be rebuilt with truth, accountability, and consistent positive actions. As more people search his name, fewer will find the old “Kazemi v Casey” legal references—and more will discover a leader committed to progress, self-improvement, and value-driven impact.  ( 6 min )

Stack, Queue and PriorityQueue are fundamental data structures used to store, organize and manage data efficiently in C#. A Stack represents a LIFO (Last In, First Out) collection. Constructor Description Stack() Creates an empty stack. Stack(int capacity) Creates a stack with an initial internal capacity. Useful when the expected size is known. Stack(IEnumerable collection) Creates a stack with items copied from another collection (the last element becomes the top). Member Description Example Push(T item) Adds an item to the top stack.Push("A"); Pop() Removes and returns the top item. Throws if empty var item = stack.Pop(); Peek() Returns the top item without removing it. Throws if empty var item = stack.Peek(); TryPop(out T result) Safe Pop (returns false…  ( 10 min )

Building LAW-T: The First AI-Native Programming Language This is my submission for the 2025 Hacktoberfest Writing Challenge: Contribution Chronicles I spent Hacktoberfest 2025 building LAW-T, the first programming language designed for AI agents. Every script is: ✅ Time-labeled (perfect provenance tracking) ✅ Self-documenting (AI can understand intent) ✅ Provably correct (formal laws + proofs) ✅ Auto-evolving (AI suggests improvements) 10 Working AI Use Cases: 🤖 Code generation (ChatGPT → LAW-T script) 🔍 Automated debugging (AI finds + fixes bugs) 📊 Data pipeline orchestration 🧪 Test generation (AI writes tests) 🎨 UI component generation 📝 API documentation (auto-generated) 🔐 Security audit (AI checks vulnerabilities) ⚡ Performance optimization 🌐 Multi-language translation 🧠 Se…  ( 16 min )

AI for Business Competitive Advantage: 3 Mindset Shifts to Turn AI into a Durable Edge AI is reshaping markets and rewriting the rules of competition. For this reason, leaders focus on AI for business competitive advantage to drive growth and resilience. Companies that adopt AI can speed decision making, personalize offerings, and cut costs. Yet many teams struggle to move from pilot projects to real impact. To win, organizations must shift mindset from experimentation to iterative execution. Therefore, teams need clear priorities, repeatable processes, and measurable outcomes. Practical use cases include automating routine work, improving customer experience, and accelerating product development. These changes boost revenue and free teams for higher value work. This article highlights t…  ( 16 min )

Stop reading. Seriously. Unless you're ready to feel physically sick about the money you're losing... 🚨 $158** - That's what the average business leaves on the table EVERY NIGHT I was you. I watched the analytics. I saw the abandoned carts. I cried over the "almost" sales. Then I discovered the BUSINESS HACK that feels like cheating... 🎰 Meet AsyntAI - The "Employee" That Works 24/7 For FREE This isn't a tool. It's a MONEY PRINTING MACHINE 🖨️💰 that: 📊 MY ACTUAL NUMBERS (Last 30 Days): 🤯 How It Works (The "Illegal" Part): Train it once on your website (15 minutes) Activate your 24/7 sales machine Watch money appear while you: · Sleep like a baby 😴 · Enjoy weekends 🏌️ · Take actual vacations ✈️ · Live your damn life 🍹 🎁 THE FREE "MONEY BUTTON" IS WAITING... AsyntAI gives you 100 FREE MESSAGES to prove this works. No credit card. No risk. Just pure profit potential sitting there, waiting for you to claim it. ⚠️ WARNING: This isn't for "someday" people. This is for entrepreneurs who HATE leaving money on the table. Your competitors are probably already using this. The question is - will you join them... or keep funding their luxury cars? 👉 ACTIVATE YOUR 24/7 MONEY MACHINE NOW! ⏳ P.S. Every hour you delay = $15.88 slipping through your fingers. That's $381/day. $11,492/month. $137,904/year. Your future self will either thank you or hate you. Choose wisely. 💎 P.P.S. This costs NOTHING to try. But ignoring it? That's the most expensive decision you'll make all year.  ( 7 min )

Part 3 - Implementation and Design Choices Read Part 1 here Read Part 2 here API-Led Connectivity is a proven architectural pattern for separating data, business logic, and representations across APIs. Numerous articles have been written about its advantages, but putting them into practice often raises many questions. Part 1. In Part 2, we discussed some questions about the structure and composition of APIs. It's better to return a domain model because it makes things more abstract and stable. However, sometimes one-to-one mappings might be acceptable for internal or CRUD-based tasks. System APIs work best when they expose a clean, stable domain model that abstracts the underlying System of Record. This approach has important architectural advantages: Abstraction and decoupling: It pro…  ( 18 min )

Let's talk about money you're leaving on the table... 💰 $2,100 in abandoned carts at 2 AM That's $7,463 EVERY. SINGLE. MONTH. Poof. Gone. Vanished. But what if I told you there's a secret weapon? A "business hack" that feels so unfair, it should probably be illegal... ⚡️ Meet my 24/7 Money Machine - AsyntAI This isn't just another "chatbot." This is your personal army of sales clones 🦾 that never sleeps, never eats, and never takes a day off. Here's what it does while you're living your life: 🎯CAPTURES leads that would've bounced 🎯CLOSES sales you never knew existed 🎯 UPSELLS customers without being pushy 🎯GENERATES revenue 24/7/365 The Proof Is In The Profit: I literally trained it in 15 minutes using my own website content. Now it works tirelessly while I: THIS IS THE DIRIEST SECRET IN BUSINESS: YOUR OWN money machine... That's right - AsyntAI gives you 100 FREE MESSAGES to prove it works. No credit card. No risk. Just pure, unadulterated profit potential. 🚨 WARNING: This offer is limited. Your competitors are probably reading this right now. The question is - who will act first? 👉 DEPLOY YOUR MONEY MACHINE NOW! 👈 P.S. Every minute you wait = $15.88 in missed revenue (based on average metrics). Do the math. That's $953/hour walking out the door. Your move, boss. ⏳💸 This isn't expensive - it's FREE to start. But ignoring this? That's costing you a fortune.  ( 7 min )

Let's be honest, we've all seen them. Those flashy banners screaming "GET A £500 BONUS!" plastered all over the internet. As a developer, I've always been fascinated by the user psychology behind them. As a consumer, I've always been deeply suspicious. UK's online casino market. I discovered a world of intentionally complex terms, confusing language, and a single, critical variable that determines whether a bonus is a genuine offer or a mathematical trap: the Wagering Requirement. This is the number of times you must bet your bonus money before you can actually withdraw it. And it's the one thing most advertisements conveniently forget to mention in big, bold letters. I got fed up. I realized that the best way to fight obfuscation is with clarity. The best way to fight marketing spin is wi…  ( 12 min )

Managing a cloud environment often means balancing security with accessibility. For teams working on AWS, providing remote access to resources while ensuring data safety is critical. In this post, I’ll walk through best practices for implementing secure remote access to your AWS environments using VPN and zero-trust principles. Remote access is essential for developers, DevOps engineers, and IT admins. However, without proper controls, it can become a major attack vector. Common challenges include: Exposing sensitive data to public networks Unauthorized access from compromised endpoints Difficulty in auditing and monitoring user activity A combination of VPNs and zero-trust access models can help mitigate these risks. AWS Client VPN is a managed VPN service that allows users to secu…  ( 7 min )

Introduction – When AI Becomes a Recruiter Imagine uploading a job description and a candidate’s resume, and an AI instantly evaluates the match, gives ATS scores, writes tailored feedback, and even generates interview questions. That’s what I set out to build an Agentic AI Resume Evaluator powered by LangGraph, Ollama, and FastAPI. Project Repository: github.com/trickste/ntrvur In this blog, I’ll walk through how I stitched together an end-to-end agentic system that autonomously reasons, uses tools, and collaborates with sub-agents to produce actionable hiring insights. By the end, you’ll see how agentic architectures, local LLMs, and good old Python orchestration come together to make AI do work, not just talk. Agentic AI means giving AI the ability to think, decide, and act toward a …  ( 10 min )

This article builds on our previous post, where we introduced the core concepts of token exchange and its role in secure authentication. Here, we delve into a practical application, demonstrating how to leverage Okta and ToolHive to facilitate token exchange for authenticating an MCP server with a GraphQL API. This demo mimics a (hopefully!) real world example where we run an API service and we want to expose it with an MCP server. The back end API requires a token with aud=backend and scopes=[backend-api:read]. "Aud" (audience) in a token specifies the intended recipient of the token, indicating which service or application is meant to consume it. "Scopes" define the specific permissions or access rights granted by the token, detailing what actions the token holder is authorized to perfo…  ( 12 min )

This article builds on our previous post, where we introduced the core concepts of token exchange and its role in secure authentication. Here, we delve into a practical application, demonstrating how to leverage Okta and ToolHive to facilitate token exchange for authenticating an MCP server with a GraphQL API. This demo mimics a (hopefully!) real world example where we run an API service and we want to expose it with an MCP server. The back end API requires a token with aud=backend and scopes=[backend-api:read]. "Aud" (audience) in a token specifies the intended recipient of the token, indicating which service or application is meant to consume it. "Scopes" define the specific permissions or access rights granted by the token, detailing what actions the token holder is authorized to perfo…  ( 12 min )

Github Reop Manually setting up a structured document for every daily idea is a repetitive, time-consuming chore that frankly, makes the whole process feel like work. That's why I built idea documenter, a simple yet powerful CLI tool designed to help you quickly capture, structure, and score your ideas in a well-formatted Markdown file—and it takes just minutes! The core issue this tool tackles is the overhead of documentation. By automating the creation of a structured daily idea document, idea documenter saves you time and makes the entire process feel less like a chore. It streamlines your idea-capturing process, letting you focus on the creativity rather than the template. Here’s what makes idea documenter a must-have for any prolific thinker: Interactive Command-Line Interface: It gui…  ( 7 min )

About Zidhuxd Sidharth, widely known by his online identity Zidhuxd, is a young and highly skilled cybersecurity researcher, Android developer, and ethical hacker from Kerala, India. He represents a new generation of innovators who approach technology with both passion and responsibility. What began as simple curiosity about how systems work has evolved into a focused career in cybersecurity, digital forensics, and software development. Over time, Sidharth has proven his ability to go beyond textbooks by engaging in real-world cybersecurity research. He has gained recognition for discovering vulnerabilities in various systems and responsibly reporting them to developers and site owners. One of his most notable achievements was identifying a critical SQL injection vulnerability in a wel…  ( 7 min )

Today, project managers are increasingly exploring ways to better support stakeholders and key contributors across multiple programs. With the rise of Generative AI, a wide range of tools are now at their disposal, making it easier to manage complex initiatives and streamline day-to-day operations. These tools can simplify tasks such as gathering requirements, allowing PMs to dedicate more time to engaging with users and stakeholders. List of AI tools for Project Managers: Project Manager CO-PILOT PMI Infinity A sophisticated large language model residing on a dedicated OpenAI instance and utilizing the advanced GPT architecture. Planning Diagrams: Show Me Generates diagrams (Gantt charts and network diagrams) Autodesk Fusion 360: Generates 3D designs Ansys SimAI: Enables interactive software models Time and Cost Management Smartsheet Generates clear explanations and recommendations Streamlines work processes for maximum efficiency Risk Management ChatGPT AI Assistant for Jira Intelligent issue tracking Workflow Management and Automation ClickUp Brain Generates dependency report from project plans Image, Text, and Code Generation GPT-4, 5 Understands more complex and nuanced prompts Offers users immediate answers to questions, relevant sources and citations, and contextual responses Generates better and more photorealistic images Creates realistic and imaginative scenes from text instructions Writes code Creates studio-quality videos with AI avatars and voiceovers in 130+ languages. Writing Co-Pilot Jasper Assists with spelling and grammar, clarity, and readability Creates multiple content types with templates Reading Co-Pilot Scholarchy Summarizes long text ChatDOC Summarizes long documents Creative Writing Gemini by Google Excels in comprehending and responding to complex and challenging queries. ChatGPT by OpenAI Generates human-like text Facilitates language translation Crafts diverse forms of creative content Provides informative responses to queries  ( 7 min )

Reinforcement Learning in Optimizing Container Shipping Logistics In 2020, the international container shipping company, NYK Line, collaborated with researchers from Japan's National Institute of Advanced Industrial Science and Technology (AIST) to develop an AI system using reinforcement learning that significantly improved the efficiency of their container shipping operations. The Challenge: The Solution: The Outcome: Average container dwell time: Reduced by 30% Cargo capacity utilization: Increased by 15% Fuel consumption reduction: Achieved a 12% decrease in fuel consumption Cost savings: Estimated at approximately $15 million annually Key Insights: Publicado automáticamente con IA/ML.  ( 6 min )

I've been using AI to code for about a year now, and honestly, most of the time I was doing it wrong. I'd throw vague questions at ChatGPT and get mediocre code back. Then I figured out a few patterns that actually work. These aren't magic bullets. You still need to understand what you're building. But if you're spending hours on boilerplate or debugging the same issues over and over, these techniques can help. The biggest mistake I see users make is treating AI like a search engine. They type "make me a React component" and wonder why the output is 🤮. Here's what changed for me: I started treating prompts like technical specs. When I need a component, I give it the full picture upfront. What does it do? How should it look? What edge cases matter? ❌ Vague Prompt vs. ✅ Detailed Prompt I…  ( 11 min )

I've started taking Harvard CS50 Computer Science classes again. Since I'm at it, I figured why not write it down? Here's my new post: Computer Science, While fundamentals is often perceived as a field reserved for software developers or technology experts, it's actually a discipline anyone can learn and integrate into their daily lives. At its core lies the approach to identifying, analyzing, and effectively solving a problem. This provides benefits in many areas, from acquiring new skills to bringing an analytical perspective to everyday problems. If you're looking to delve into the fundamentals of computer science, this article is for you. We'll explain the fundamental concepts for beginners and deepen the topic with practical examples. Computer science is built on three fundamental pil…  ( 9 min )

Hi Dev.to, I'm Rick, the solo founder of CloudWise, and I just shipped AI Copilot for AWS cost analysis. The Problem: AWS bills are confusing. Cost Explorer shows charts, but doesn't explain WHY costs changed or HOW to fix them. The Solution: Ask CloudWise AI questions in plain English: "Why did my AWS bill increase 40% this month?" "Which services are costing me the most?" "How can I save $1000/month?" The AI analyzes your actual AWS cost data and gives specific, actionable answers. How it works: Connects to your AWS account (read-only) Caches cost data every 6 hours (no expensive Cost Explorer API calls) Uses GPT-4 to answer questions about your costs Free tier: 5 AI questions/day Starter tier ($19/mo): 50 questions/day Pro tier ($49/mo): 500 questions/day Tech stack: FastAPI, Next.js, DynamoDB, OpenAI API, AWS Lambda, etc. Try it: https://cloudcostwise.io https://youtube.com/shorts/eQjvZ7krstQ?feature=share https://youtu.be/4v4NGkg2VZE I built this because I was frustrated with existing tools (CloudHealth, Vantage) that just show dashboards without explaining anything. Would love your feedback. What questions would you want to ask about your AWS costs?  ( 6 min )

Everything Wrong With Longlegs In 24 Minutes Or Less CinemaSins serves up their signature sin-counting roast of Nicolas Cage’s over-the-top performance in Longlegs, just in time to hype Osgood Perkins’ next thriller, Keeper. Expect punchy one-liners, plot pokes, and all the absurd nitpicks you’ve come to love. Hungry for more? Swing by their website or linktr.ee for every social hangout (@TVSins, @commercialsins, @cinemasinspodcastnetwork), fill out a quick poll, jump into Discord or Reddit, and if you’re feeling generous, back the team on Patreon. Watch on YouTube  ( 6 min )

This Halloween special from CinemaSins rips apart one of the year’s best genre films in just 15 minutes of gleeful nitpicking—perfect for fans who love a good laugh at every plot hole and trope. Along the way they plug their main site, YouTube channels (@TVSins, @commercialsins, @cinemasinspodcastnetwork), a “sinful” fan poll, Patreon support, and all the socials (Discord, Reddit, Twitter, Insta, TikTok) so you can join the fun behind the scenes. Watch on YouTube  ( 6 min )

Welcome! We continue our series of articles about frontend architecture. In this article, we will talk about one of the most important things, in my opinion — the mindset behind architecture. What do I mean by that? It’s the understanding of what our job as developers really is and how we plan to do it. From my experience, this is one of the most underrated and missed aspects of software development. Most projects I’ve seen were developed in a “whatever works” way. You take some boilerplate template, start adding folders and files — that’s your project initialization — and then every problem is solved in whatever way the current developer thinks of (or whatever the AI suggests). This approach leads only to chaos after a few years, where only people who have worked in the company long enoug…  ( 15 min )

I've created websites the hard way and the easy way for many years. Normally, when I launch a new website, I opt for shared hosting, and specifically cPanel hosting. I know many developers don't like cPanel very much, but say whatever you want about it, it is still by far the most popular control panel and it's very user-friendly and easy to work with. It's my favorite control panel. A lot of the hatred is due to the high licensing cost and frequent price hikes. Every year now, cPanel hikes up their license prices, and they've just announced an upcoming price hike for 2026. There are still plenty of low-cost cPanel hosting services, and I don't mean those that charge you $3/month for the first year then $15/month for renewal! These are some providers I've personally used and would recommen…  ( 7 min )

Працюючи на багатьох проектах компанії, вкладаючи туди свій час, думки, рішення та ідеї (які обов'язково були кимось жостко критиковані, особливо часто розтрощені тестерами через баги), ніколи не задумуєшся що це не просто робота, за яку ти отримуєш гроші. Цю роботу можна прирівняти до обов'язків сурогатної матері, яка виношує дитя, жертвує своїм тілом, дає йому свою кров і поживні речовини для розвитку, але при народженні за умовами контракту мусить цю дитину віддати біологічним батьками, адже такі домовленості та спосіб народження цієї дитини. Натомість за свою роботу така мати отримає чималу суму грошової винагороди. І це справедливо, бо кожна робота має бути гідно оплачена. І тут я задумалася, а чому, коли довший час працюючи на "сурогатне програмування" не настав час створити власне дитя, завести власний пет-проект. Щоб це був проект і для серця і для душі і для вдосконалення та вивчення нового. Розвивати і любити його як власне дитинча. Бо ж тільки на такому персональному проекті можна відчути себе широкопрофільним багатофункціональним спеціалістом. Так би мовити і замовник і дизайнер і виконавець в одному тілі. Я вже навіть визначилася з іменем цього маленького творіння. Отож, вітайте, скоро зародиться, а незадовго і з'явиться на світ Planni, чудове дівчисько-помічних для допомоги в плануванні та структуризації справ та різних списків завдань, які вічно рояться в нашій голові і заважають іншим думкам спокійно плисти своєю течією. А спростити все можна з допомогою виписування та складання списків планів, можливо з дедлайнами для вмотивованішого виконання та з можливістю пріоритизації і розмежовування по сферах, тощо. Ох, скільки ж в мене в голові думок та ідей як це можна реалізувати! Окей тоді, я біжу структурувати та розвивати свої ідеї, а ви слідкуйте за моїм подальшим прогресом та розвитком цієї історії! Отож, далі буде....  ( 7 min )

Contract Position: Backend Engineer & MLOps Lead (Temporary Assignment) Position Overview System Architecture & Backend Development Design and implement modular backend services and data pipelines using cloud technologies (AWS, GCP, or Azure). Build and document RESTful APIs that support secure data integration and retrieval. Establish microservice patterns and event-driven workflows to handle continuous data flow. Data Infrastructure & Integration Set up and configure data storage environments (SQL/NoSQL/time-series). Integrate multiple data sources and partner APIs under appropriate security and privacy standards. Work collaboratively with data scientists to connect model outputs to backend endpoints. Machine-Learning Operations (MLOps) Implement CI/CD pipelines for model training, valid…  ( 7 min )

A blunt playbook for devs who don’t want to turn into autocomplete zombies. The first time an AI wrote code for me, I felt like I had unlocked cheat codes for real life. I typed a half-baked function name, hit enter, and suddenly I had a block of code that looked legit. It was magical. The second time, though? It suggested something so catastrophic basically the programming equivalent of pulling the fire alarm that I realized: this thing is less “mentor” and more “overconfident intern who thinks they know pointers but actually just broke prod.” That’s where most of us are right now. AI is everywhere: in our IDEs, our docs, even sneaking into PR reviews. Some days it feels like rocket fuel; other days it feels like an autocomplete with a drinking problem. The tricky part isn’t whether AI i…  ( 13 min )

Architecture (What we will build) +----------------------+ | S3 Bucket | ← Static files / backups +----------+-----------+ | v +-------------------+ +--------------------+ +-------------------+ | EC2 #1 (Ubuntu) |----| EFS Storage |----| EC2 #2 (Ubuntu) | | /var/www/html -> | | (Shared directory) | | /var/www/html -> | | Uses EBS for root | +--------------------+ | Uses EBS for root | | Nginx website | Nginx website | +-------------------+ ^ | …  ( 7 min )

Artificial intelligence lives at the heart of modern business, but how do you know if your AI models actually perform as intended? The answer lies in robust AI evaluation. Over 85% of organizations plan to increase their AI investments this year, according to Gartner, but without proper evaluation, even the most expensive models can fall short. Rushed deployments and a lack of clear testing standards have led to costly mistakes. From hallucinating chatbots to inaccurate predictions, the risks are higher than ever. Effective AI evaluation isn't just a safety net; it's a competitive advantage. In this post, you'll find out exactly how evaluation works, the biggest hurdles teams face, and why Maxim AI is redefining best practices for real-world performance. AI evaluation is the process of sys…  ( 10 min )

As developers, we often build clients to communicate with servers. But what happens when that server can speak multiple languages? Not human languages, but transport protocols. One moment you're talking over stdio, the next over Server-Sent Events (SSE), and tomorrow it might be raw HTTP or WebSockets. This is a common challenge in modern infrastructure, and it's one we tackled head-on in our ansible-collection-mcp-audit project. In this post, we'll go deep on the design patterns we used to build a clean, transport-agnostic client in Python. We'll look at how an async context manager, a simple factory, and a well-defined class structure can tame the complexity of multi-protocol communication. This isn't just about the Model Context Protocol (MCP); these patterns are applicable to any proje…  ( 10 min )

Have you ever needed to create an interactive diagram editor in your React application? Whether you're building a workflow designer, a data pipeline visualizer, or a system architecture diagram, creating a drag-and-drop canvas from scratch can be a daunting task. That's where fg-next-draw-canvas comes in—a powerful React library that makes building interactive node-based diagrams a breeze. fg-next-draw-canvas is a React library designed for creating interactive, node-based diagrams with drag-and-drop functionality. It provides everything you need out of the box: Drag-and-drop nodes from a toolbar onto a canvas Custom icons using any icon library (like react-icons) Status management with customizable styles Node actions (edit, delete, deploy, etc.) Connection system to link nodes together E…  ( 11 min )

Laravel Sanctum provides an authentication system for SPAs (single page applications), mobile applications, and simple, token based APIs. Sanctum allows each user of your application to generate multiple API tokens for their account. These tokens may be granted abilities / scopes which specify which actions the tokens are allowed to perform. folders App->[ Http->[ Controllers\Api\Auth->[ AuthController, OTPController, PasswordResetController ],Requests\Auth->[ LoginUserRequest, RegisterUserRequest, ResetPasswordRequest, SendOTPRequest, VerifyOTPReq…  ( 15 min )

After weeks exploring IEnumerable, yield return, and xUnit, we’ve reached the final step of our journey: building our own LINQ methods. This is the story of how I used this project to teach my team C# fundamentals and remove the illusion that LINQ is “something magical.” It’s not magic, it’s just beautifully structured C# code. As a team lead, I noticed some developers using LINQ daily without really knowing how it worked. So, I decided to create a simple project to teach them how to implement LINQ-like methods from scratch. We used everything we learned throughout this series: IEnumerable and iteration Extension methods yield return and deferred execution Unit testing with xUnit The complete project is available on GitHub: 👉 github.com/reenanms/My.Linq In the last article, we wr…  ( 8 min )

This is Part 5 of my 7-part series on business literacy for DevRel. Start with Part 1 if you missed it. We've covered sales, marketing, and finance. But there's one group we haven't talked about yet - and they might be your most valuable partnership in the entire company: Product. Not because product managers are inherently better than anyone else (though the good ones are pretty great). But because strategic product leaders sit at the intersection of everything. They see the business from a unique vantage point that can be incredibly valuable to DevRel. A good product partner is worth their weight in gold. They're your early warning system, your business intelligence source, and your reality check all rolled into one. At the most basic level, product management is about figuring out what …  ( 13 min )

Introduction: Why I Built This System For 9 years since joining the company, I've worked as an engineer in the AD/ADAS field. While I accumulated expertise, I felt it was a career risk that my work wasn't visible outside the company and had zero recognition in the global market. Expertise might as well not exist if it isn't visible. Then I realized: Nothing will change unless I put myself out there. However, I faced the following challenges: Lack of time: With a full-time job, I couldn't dedicate 10 hours per week to blogging Difficulty maintaining: Manual posting is cumbersome and leads to quick abandonment Global reach: Japanese-only content has limitations; English content is also necessary In this article, I'll introduce the bilingual automated blog posting system I built that costs …  ( 12 min )

Spent the weekend building debtduel.com because honestly... managing $23K in debt was eating me alive. Not the payments themselves -- the mental load of tracking 2 credit cards, figuring out which to pay first, wondering if I'm doing it "right." Did you know there's actual research on why people fail at debt payoff? It's not about math. Everyone knows "pay high interest first" but only 23% actually do it. The real killer: decision fatigue. Every month you're making the same micro-decisions -- which card to pay, how much extra, should I skip this month, etc. Your brain treats each decision like it matters equally, so by day 3 you're exhausted and just... stop thinking about it. The tool does 3 things: Calculates actual payoff timeline with your extra payment Shows you ONE number to focus o…  ( 7 min )

Smart contract development presents a unique challenge: once deployed to the Transparent Upgradeable Proxy Pattern - an elegant solution that allows When you deploy a smart contract to Ethereum or any EVM-compatible blockchain, Trust: Users can verify the contract code and know it won't change unexpectedly Security: No single party can maliciously modify the contract logic Decentralization: The contract operates independently without central control However, this immutability creates significant challenges: Bug Fixes: If you discover a critical bug in your contract, you can't simply patch it like traditional software Feature Updates: Adding new functionality requires deploying a completely new contract State Migration: Moving user data from old contracts to new ones is complex and expensiv…  ( 9 min )

I've been exploring the fascinating world of AI lately, and it’s brought to mind something I like to call "AI's Dial-Up Era." Remember that iconic sound of a modem connecting, followed by the excruciatingly slow loading times? It wasn’t so long ago that we were all waiting impatiently for web pages to load while listening to that nostalgic symphony. Today, I feel like we're experiencing a similar phase in AI. Excited, yet slightly held back by the limitations of our current technology. When I first dipped my toes into AI and machine learning a few years back, I was blown away by the potential. I dove headfirst into TensorFlow and PyTorch tutorials, eager to create my own models. But, oh man, did I hit a wall. Ever wondered why some models perform fantastically while others flop? I’ve exper…  ( 8 min )

In today’s rapidly evolving agricultural landscape, the pressure on small to mid-sized farming enterprises to not only sustain but accelerate productivity has never been greater. At BrightPath Associates LLC, we serve as your strategic partner in talent acquisition and leadership sourcing - especially for farms ready to harness advanced technologies and drive performance. One such transformative area is software-enabled crop yield optimization, a toolset that no serious farming operation can afford to ignore. Farming companies across the United States face a converging set of challenges: volatile input costs, weather variability, labour constraints, and rising demands from markets for higher output and better quality. In the context of the broader farming ecosystem, leveraging digital tool…  ( 8 min )

If you're looking for a modern, efficient terminal-based development setup, let me introduce you to a powerful combination: Helix (a post-modern text editor) and Yazi (a blazingly fast terminal file manager). Helix is a Kakoune-inspired editor with built-in LSP support, multiple cursors, and tree-sitter integration. It's fast, has sane defaults, and no plugin configuration needed. Yazi is a terminal file manager written in Rust that's incredibly fast and intuitive. Think of it as a visual way to navigate your projects before diving into code. Together, they create a lightweight alternative to heavy IDEs while keeping you productive. I've been reflecting on my development tools lately, and I'm not particularly proud of relying on JetBrains products anymore. Their direction seems increasingl…  ( 7 min )

It’s feedback season. Calendars fill with “quick chats,” dashboards glow, and we try to stitch a quarter’s worth of activity into a clean story about impact. But 2025 brings a deeper shift: AI workflow integration. AI is moving from “use a chatbot on the side” to living inside the handoffs plan → code, code → ship, ship → learn where traceability, decisions, and outcomes actually live. Thesis: the next 12 months aren’t about picking the “best” model; they’re about embedding AI inside the workflow so the path from intent to impact is faster and more visible. When AI helps at each hop, you don’t need to perform productivity you can prove it. We already have the artifacts: OKRs, roadmaps, PRs, tickets, incidents. What we lack is low-friction stitching. The pattern that works is AI in the han…  ( 8 min )

✍️ Autor e Código-Fonte Este artigo documenta um projeto real e de código aberto. Criado por: Ghabryel Henrique 🐙 GitHub: GhabryelHenrique 💼 LinkedIn: Conecte-se Comigo Explore o código-fonte completo nos repositórios oficiais do projeto: 🖥️ Aplicação Frontend (Angular): angular-mfe-example Nos últimos anos, a arquitetura de Micro Frontends (MFE) tem ganhado destaque como solução para times que precisam escalar aplicações frontend de forma independente. Neste artigo, vou mostrar como implementar MFE em Angular usando Module Federation do Webpack 5. Micro Frontends é um padrão arquitetural que estende os conceitos de microserviços para o frontend. A ideia é dividir uma aplicação monolítica em partes menores e independentes, onde cada time pode desenvolver, testar e fazer depl…  ( 9 min )

TL;DR 8Bit Music Theory’s latest video uses the Marvel vs Capcom 2 soundtrack as a springboard to unpack what makes funk and jazz so irresistible—focusing on syncopation, bass grooves and solos instead of a straight game‐music analysis. Chapters 0:00 Funk/Jazz vs Rock 2:01 Syncopated Rhythm 9:07 Bass 13:02 Solos 18:41 Outro Plus, you can support via Patreon and grab merch, or join the Discord and follow on Twitter. Watch on YouTube  ( 6 min )

Sick of endless prompt tweaking? This video shares four killer ChatGPT hacks that slashed my AI workflow in half—no matter your role or industry. You’ll see how to reverse-engineer top prompts, spin one idea into blogs, tweets, and more, get AI to critique its own output, and force ChatGPT to map out its logic before generating. Prompt Reversal Technique: Dissect your best prompts backwards for instant improvements The 5-Minute Amplifier: Turn one piece of content into multiple formats in minutes The Red Team Technique: Have AI play devil’s advocate and spot its own flaws Blueprint Scaffolding: Make ChatGPT outline its reasoning before execution Watch on YouTube  ( 6 min )

Recently, I helped a student review his full interview process for a Cisco Data/Software Engineer role. Many people still think of Cisco as a “network hardware company,” but the reality is that Cisco is now heavily investing in cloud computing, AI infrastructure, and cybersecurity — and their interviews have become much more software-oriented. This candidate went through all stages: Online Assessment → Technical Interview → Manager Interview → Final Round. Here’s the full breakdown. Platform: HackerRank Duration: 90 minutes Format: Two coding questions + multiple-choice (algorithm and networking basics) Given a sequence of packet IDs, some may be missing or out of order. Within a limited buffer size, reconstruct and output the correct sequence. Key points: Use Queue or Heap Handle reo…  ( 7 min )

That's how it feels with AI. I am 30+ years into enterprise system administration and IT management, and I once knew how to code. Just not good enough to make a career out of it. Assembly, C, Perl, all forgotten. I know how to develop, and maintain those skills through shell scripting, but I can no longer code. Enter AI. I read so many cool stories about vibe coding, and wanted to try it out. It was fun. It gave me some useful tools. It gave me the answers to a lot of stuff I was curious about. But the code, while working, quickly got unmaintainable. Then I faced a really great coding opportunity. A double elimination bracket manager for my darts club. It's so niche, that nothing like it exists. Our only option is pen and paper, and an Excel macro that somebody donated to us. Which crashed…  ( 8 min )

Everything Wrong With Longlegs In 24 Minutes Or Less is CinemaSins’ latest roast of Osgood Perkins’ Nicolas Cage thriller, Longlegs. In less time than the movie itself, they gleefully tally up every plot wobble, over-the-top Cage moment and yes, confirm that those legs really are ridiculously long. Alongside the sins, they drop a teaser for Perkins’ next flick Keeper, invite you to join their sinful poll (https://iter.ly/lvr9d), and nudge you toward their Patreon (patreon.com/cinemasins). For extra cinematic nitpicking, they’ve got you covered on their site (cinemasins.com), YouTube spinoffs (@TVSins, @CommercialSins) and a bustling Discord and Reddit community. Watch on YouTube  ( 6 min )

Learn how HashMap handles hash collisions internally in Java using buckets, linked lists, and trees. Understand rehashing, examples, and best practices. Imagine a busy post office sorting thousands of letters into pigeonholes based on zip codes. Each pigeonhole represents a unique slot for a region. But what if two letters have the same zip code? They’ll go into the same slot — and that’s okay because the post office knows how to manage them efficiently. This is exactly how HashMap in Java works internally. When two different keys produce the same hash value, it’s called a hash collision. Understanding how Java’s HashMap handles these collisions is vital for writing efficient and reliable code, especially if you work with large datasets or performance-critical applications. In this article…  ( 9 min )

Clients these days want more from their legal partners, especially when it comes to keeping sensitive info safe. If you’re running a law firm, showing off your secure cloud storage can really make you stand out. One of the best ways to prove your firm’s security? Share certifications like SOC 2 and ISO 27001, go through regular audits, and keep your security policies clear and easy to understand for clients. Being open about your security isn’t just about ticking boxes or following rules. It’s a way to build trust and maybe even win over new clients who care about data safety. When you provide client-facing reports and actually talk about how you keep their data safe, you’re basically saying, “Hey, your info’s in good hands.” That kind of transparency can give your firm a real edge in toda…  ( 10 min )

The best code is the one you can sleep peacefully knowing it works - Anonymous developer Imagine, as a backend engineer who’s working for a fast-growing startup company, you slept and woke up to a dreaded Slack notification. The company's API, the same one powering thousands of user requests per minute, has just crashed. Servers were timing out, users were complaining, and the frontend team was panicking. What is going on? You know you've written a good code, or so you thought, but good code isn't always scalable code. What seems to work for 100 users was now collapsing under 50,000, and you're probably frustrated and exhausted. This is the reality a lot of the developers out there face: you’re building APIs fast, trying to keep up with deadlines, but somewhere between your fixing bugs and…  ( 10 min )

Chi lavora nel mondo dello sviluppo sa che la blockchain non è solo finanza: è una frontiera di innovazione tecnologica. 1. Ethereum – La piattaforma di riferimento per gli sviluppatori Nonostante la concorrenza, Ethereum resta il punto di riferimento per la creazione di DApp. La sua comunità open source è tra le più attive, e il continuo sviluppo di soluzioni layer-2 (come Optimism e Arbitrum) ne garantisce la scalabilità. Molti sviluppatori e investitori iniziano il proprio percorso acquistando piccoli importi di ETH tramite piattaforme affidabili come MoonPay 2. Solana – Performance e innovazione Con oltre 65.000 transazioni al secondo, Solana rappresenta una delle reti più efficienti. Perfetta per chi sviluppa progetti ad alta intensità di dati, giochi blockchain o marketplace NFT. 3. Polkadot – L’interoperabilità al centro Polkadot unisce diverse blockchain in un’unica rete interoperabile. 4. Filecoin – Il Web3 dello storage Basato su IPFS, Filecoin consente di archiviare dati in modo decentralizzato e incentivato economicamente. 5. Chainlink – I ponti tra blockchain e mondo reale Gli oracoli di Chainlink permettono agli smart contract di accedere a dati esterni, rendendo possibile l’automazione di eventi nel mondo reale. 6. Avalanche – Velocità e modularità Grazie al suo approccio multichain, Avalanche consente transazioni rapide e una compatibilità fluida con Ethereum. Conclusione La blockchain non è solo speculazione. È un campo di innovazione open source, dove il valore si costruisce con il codice e la collaborazione. Chi oggi inizia a sperimentare, domani contribuirà a scrivere la prossima generazione del Web3.  ( 7 min )

I'm excited to announce, FlightPath Server has arrived. FlightPath Server is the automation hub your data file feeds ingestion ops need. It joins FlightPath Data and CsvPath Framework to complete the foremost solution for delimited data preboarding. https://www.flightpathdata.com Connect your MFT server to the data lake without coding. Enable downstream consumers to query the preboarding archive for file arrival and lineage metadata. Shift-left data quality assurance to protect your applications, analytics, and AI from untrustable data partners. FlightPath Server is bundled with FlightPath Data and available now in the Microsoft Store and The macOS Store as native binaries. The software is open source and available on Github in Python. In addition to tight integration with FlightPath Server, This version of FlightPath Data includes: CSV and Excel file profiling New env var handling options, available in Server, Data, and within CsvPath Framework Improvements to dark mode Dozens of fixes, minor features, and performance improvements Read more in the revved docs at: FlightPath Data: https://www.flightpathdata.com FlightPath Server: https://www.flightpathdata.com/server.html CsvPath Framework: https://www.csvpath.org/ CsvPath Validation Language: https://github.com/csvpath/csvpath Those of you struggling with data file feeds management, this one's for you. Reach out and let's chat. info@flightpathdata.com.  ( 6 min )

I have been using ESLint & Prettier for many years. But after I have tried a fairly new tool called Biome & I am not going back. Biome is a single tool that replaces both ESLint and Prettier, offering faster performance, simpler configuration, and native multi-language support. While ESLint and Prettier are great, well-tested tools, Here are some reasons why I decided to switch: ⚡ Significantly faster 🔧 Simpler configuration with one config file 🎯 Built-in support for multiple languages 🚀 Zero conflicts between linting and formatting I have an in-depth video tutorial on my channel. If you are using nextjs, then you can setup biome during project creation. otherwise first, install Biome in your project: npm install -D -E @biomejs/biome Create your config file: npx @biomejs/biome init #…  ( 9 min )

The air is getting crisp, the nights are drawing in, and a new coding challenge is brewing. Welcome to Kiroween, the latest and spookiest hackathon from Kiro. Following the success of previous events, Kiroween is set to be bigger, better, and more thrilling than ever. Kiro is no stranger to the hackathon scene. The Code with Kiro Hackathon and the Reddit x Kiro: Community Games Challenge 2025 have already seen developers build incredible applications, from multiplayer games to AI-powered sales tools. These events have showcased the power of Kiro's AI IDE, which goes beyond simple code generation to become a true development partner. Kiroween is a Halloween-themed hackathon that challenges you to "dare to code in dark mode". With a massive $100,000 in prizes up for grabs across 12 categorie…  ( 7 min )

Building AI-powered applications has become increasingly important for modern Java developers. With the rise of large language models and AI services, integrating intelligent capabilities into Java applications is no longer a luxury — it's a necessity for staying competitive. Spring AI makes this integration seamless by providing a unified framework for building AI-powered applications with Java. Combined with Amazon Bedrock, developers can create sophisticated AI agents that leverage state-of-the-art foundation models without managing complex infrastructure. In this post, I'll guide you through creating your first AI agent using Java and Spring AI, connected to Amazon Bedrock. We'll build a complete application with both REST API and web interface, demonstrating how to integrate AI capabi…  ( 16 min )

When I first started using Prisma, I loved how easy it made database work - migrations, schema changes, Prisma Studio, all just worked. But once I started deploying more apps on Vercel and serverless environments, I noticed something: Prisma Client felt a bit heavy. Every time I deployed, my bundle size grew. And I didn't really need the full ORM - I just wanted a way to manage my schema and write type-safe SQL queries. That's when I found a good balance: Use Prisma only for schema management, and Kysely for queries. This setup has been super clean for me in my Next.js projects - and in this post, I'll show you exactly how to do it. I like to think of it like this: Prisma is my database architect. It manages the schema, migrations, and gives me tools like prisma studio. Kysely is my query …  ( 9 min )

Managing recurring API calls shouldn’t require a full automation platform. Here’s why I built a simple, self-hosted dashboard that keeps your API jobs under your control. Every developer has written a quick script or cron job to hit an API on a schedule — maybe syncing data, refreshing a cache, or triggering a webhook. It works fine... until it doesn’t. You forget which server it’s running on. Logs vanish. A call fails silently. Or you migrate your app — and that old cron job gets left behind. For something so simple, managing recurring API calls can become messy fast. If you’ve ever needed to run API calls on a schedule — refreshing tokens, syncing data, sending webhooks — you’ve probably realized there’s no straightforward way to handle it. And honestly, managing recurring API calls shou…  ( 7 min )

You don’t need fancy animations to make your frontend convert. You need empathy. Conversion isn’t a dark art — it’s good UX, clear structure, and emotional timing. Every visitor lands with a question: “Is this worth my time?” Your job as a frontend dev is to answer that within 3 seconds. Use these subtle UI psychology cues: 🧭 Visual hierarchy: biggest, boldest element = main goal. 💬 Microcopy: short, emotional, direct (“Start Now”, not “Submit”). 🕶️ Whitespace: less clutter = higher trust. 🧠 Step 2: Build Micro-Interactions That Nudge Motion = emotion. A small hover, fade, or scale cue tells the user “this app reacts to me.” Use them to: ✅ Confirm actions (button ripple, toast) 🧭 Guide attention (focus transitions) 🕹️ Reward curiosity (hover reveals, …  ( 7 min )

Lesson 20: Simulated Trading Validation ⏱ Duration: 2 hours 🎯 Learning Objectives: Validate strategy performance in real-time markets through long-term Dry-run, build confidence before entering live trading 📚 Course Outline: 20.1 Importance of Simulated Trading 20.2 Monitoring Metrics and Alerts 🎯 Practical Tasks: [ ] Run Dry-run for 1-2 weeks Backtesting and visualization analysis are based on historical data, but live trading faces an unknown future market. Simulated trading (Dry-run) is the critical bridge connecting historical testing and live trading. Core Value of Dry-run: ✅ Validate strategy performance in real-time markets ✅ Test system stability and reliability ✅ Familiarize with trading processes and monitoring tools ✅ Discover issues not exposed in backtesting ✅ Build tradi…  ( 6 min )

第 20 课：模拟交易验证 ⏱ 课时：2 小时 🎯 学习目标：通过长期 Dry-run 验证策略在实时市场中的表现，建立信心后再进入实盘 📚 课程大纲： 20.1 模拟交易的重要性 20.2 监控指标与警报 🎯 实践任务： [ ] 运行 Dry-run 1-2 周 回测和可视化分析都是基于历史数据，但实盘交易面对的是未来的未知市场。模拟交易（Dry-run）是连接历史测试和实盘交易的关键桥梁。 Dry-run 的核心价值： ✅ 验证策略在实时市场中的表现 ✅ 测试系统稳定性和可靠性 ✅ 熟悉交易流程和监控工具 ✅ 发现回测中无法暴露的问题 ✅ 建立交易信心和心理准备 警告：即使回测表现优秀，也必须经过至少 1-2 周的 Dry-run 验证。许多策略在回测中表现完美，但在实时交易中完全失效。 回测特点 实盘现实 潜在问题 使用历史数据 面对未知未来 过拟合历史，未来失效 完美执行价格 滑点和延迟 实际成交价更差 无网络问题 连接中断、API 限流 错过交易机会 无情绪干扰 心理压力 人为干预策略 瞬间完成 实时运行数天 系统稳定性问题 案例：回测 vs 实盘表现差异 策略：MovingAverageCrossStrategy 回测周期：2023 年 1-3 月（3 个月历史数据） Dry-run 周期：2023 年 4 月 1-14 日（2 周实时） 回测结果： - 总收益率：+18.5% - 胜率：65% - 平均持仓时间：4.2 小时 - 最大回撤：-8.3% - 交易次数：127 次 Dry-run 结果： - 总收益率：+2.1%（虚拟） - 胜率：52% - 平均持仓时间：5.1 小时 - 最大回撤：-12.5% - 交易次数：18 次 差异分析： ❌ 收益率大幅下降：18.5% → 2.1% ❌ 胜率下降：65…  ( 12 min )

Need to translate a document and keep the formatting / layout in place for your company or organization? You’re not alone. One of the most tedious tasks involved in enterprise translation production is file formatting. If you can't seem to preserve the format of your translated file, this has to do with the technology used in your translation software. First, we'll dive into this issue. Then we will recommend a document translator that keeps formatting and layout in place (most of it)! In order to translate a document or PDF and keep formatting, layout, images, etc. (a good portion of it), the language translation software you are using must encode the file. These files need to be in a deliverable format matching the original source file. However, many translation tools don’t have the func…  ( 8 min )

Motivation In one of my projects I was working on some in-house Go application to manage complex task pipelines on Kubernetes. On a high level, a task consists of one or multiple steps that are executed in order. Engineers would contribute tasks in the form of new Go files. Different teams collaborate on those tasks. Engineers running the tasks need to understand how to configure, debug and operate them correctly. Therefore, having good documentation is crucial. The biggest challenge with documentation, however, is to keep it up-to-date. This becomes more challenging the further away the documentation is kept from the source code. In the ideal scenario, the documentation is close to the source code, e.g. in the form of JavaDoc, Python Docstrings, or GoDoc. The downside of these tools is …  ( 15 min )

Every day, people spend nearly 90% of their time indoors — working, relaxing, and sleeping. Yet, few realize how deeply indoor air quality (IAQ) impacts overall well-being. The air circulating through homes, offices, and schools carries more than just oxygen; it also contains microscopic particles, gases, and chemicals that influence how effectively our brains and bodies function. Understanding the relationship between air purity, rest, and work efficiency can dramatically improve both physical health and mental focus. Clean air is not a luxury; it is a basic need for sustaining energy, maintaining clear thinking, and achieving restful sleep. When the indoor atmosphere is filled with pollutants, it silently alters the body’s natural rhythms, reducing alertness and diminishing cognitive cap…  ( 10 min )

In today’s fast-paced digital world, data is the backbone of every business operation. But with multiple apps, CRMs, and communication platforms involved, managing that data efficiently can quickly turn into chaos. That’s where Zapier Specialists step in — they simplify, streamline, and supercharge data automation so teams can focus on what truly matters: growth. Before we dive deeper — if you’re serious about mastering automation, optimizing workflows, or collaborating with experts who make complex systems run effortlessly, join our free Skool community — Ashar Automates Data flow automation is the process of transferring data between apps, tools, or databases without manual intervention. Instead of copying and pasting data from one app to another — say, from Google Forms to a CRM or a sp…  ( 11 min )

For most of my career, I’ve worked in the utility industry, ensuring customers receive the best possible support and service. Over the years, I’ve developed a passion for solving problems, understanding data, and improving processes. But as technology evolved, I realized that the tools and systems powering great customer experiences were becoming increasingly data-driven and cloud-based — and I wanted to be part of that transformation. That realization sparked my journey into data analysis and later data engineering, where I began learning how data flows, how it’s stored, and how insights can drive smarter decisions. Each new skill opened another door — and soon, I became curious about the cloud and how it powers everything from analytics to automation. So, I decided to take a bold step forward and start learning Cloud Engineering and DevOps. My goal is to understand how infrastructure, automation, and cloud technologies come together to make data systems scalable, secure, and efficient. Balancing this journey with a full-time role isn’t always easy, but every small progress counts. I believe in lifelong learning — and this new chapter is about growth, curiosity, and staying relevant in a world where technology never stops evolving. I’ll be sharing my experiences, lessons, and key takeaways — from beginner challenges to small wins along the way. If you’re also learning Cloud or thinking of starting, let’s connect and grow together! 🌱  ( 6 min )

Most of my time during the week goes into discussions about architecture, delivery timelines, and helping teams solve technical challenges. Rarely do I get a chance to sit down and build something myself. But I’ve always believed that staying hands-on keeps your perspective sharp. Just some weeks ago, I decided to experiment with something different. I wanted to see what would happen if I tried to build a .NET application using ChatGPT as a coding companion. There was no plan to automate my work or test its intelligence. I just wanted to see what kind of help it could actually provide to a developer who knows what they are doing. The idea was simple. I wanted a small internal web application to track engineering projects and tasks. Normally, I’d start by sketching the design, setting up th…  ( 9 min )

An AI agent refers to a software entity that can perceive, reason, and act autonomously to achieve specific goals using artificial intelligence techniques like natural language processing, machine learning, or reasoning systems. I developed an AI agent for Telex which takes a regex pattern and provides a human-friendly explanation on the type(s) of string matched by that regex pattern. The inspiration for this agent lie in an API I developed just before this, where I had to use regex for some natural language processing (you can check out the project here). Though I had learnt regex previously, it felt like I was seeing it for the first time. Regex is just like that. So when Telex sought for more AI agents for their platform, I decided to develop this agent. Here's how I did it using Java,…  ( 11 min )

For years, I lived in Webpack configs. Every small project felt like booting a factory for one cup of coffee. Then I tried Vite. Two minutes later, I had a working setup. No waiting. No dependency hell. At its core, frontend isn’t about frameworks. It’s about rendering data into something humans can see, understand, and interact with. For my project, a simple data visualization app, I didn’t need another layer of abstraction. I still wanted a few modern comforts: code splitting, hot reload, fast bundling, minified JS. But not if it meant fighting config files for half a day. Vite — instant startup, zero config, ES modules by default TypeScript — strong typing, fewer surprises SCSS — clean syntax, mixins, control What impressed me most was how production-ready Vite is right out of the box. I generally agree that you should use the stack you’re comfortable with, but Webpack was never about comfort to begin with. Every few years, frontend tools get heavier than the code they build. From that perspective, Vite feels like a breath of fresh air. For future small projects — experiments, visualizers, ideas — this is the tool I’ll reach for again. 🔗 Project repo: github.com/danilo-znamerovszkij/c-atlas  ( 6 min )

CodeWhiz: My AI Assistant for Backend Developers I recently built Knowledge Agent, an AI-powered assistant designed to help backend developers with questions about Java, Spring Boot, Node.js, Python, Go, and related frameworks. It’s live on Telex and ready to assist anyone exploring backend development. Knowledge Agent is a real-time AI assistant. Developers can ask questions through a webhook or directly in the Telex platform. It answers with clear, concise explanations, often including code examples. For example, you can ask it how dependency injection works in Spring Boot or request best practices for API design. Check it out here: https://telex.im/telex-ai-intergration/home/colleagues/019a4ea1-f657-73b3-8499-57b769c9ce51/019a4ea1-b942-73af-823c-1aa0c72c8edb My agent provides instant backend development guidance for learning or troubleshooting. Using Telex as a Platform How I Built Knowledge Agent I leveraged several Mastra features to build my agent: @PostMapping("/hook") public ResponseEntity> handle(@RequestBody Map payload) { String text = service.extractUserText(payload); String answer = service.generateResponse(text); return ResponseEntity.ok(Map.of("result", answer)); } Google ADK – This Java client allowed me to send prompts to Google Gemini AI and receive structured responses. String prompt = "You are a backend dev assistant. Question: " + query; GenerateContentResponse resp = client.models.generateContent("gemini-2.0-flash", prompt, null); return resp.text(); Real-Time Response Handling – Using Spring Boot and the webhook, my agent responds in real time to messages from developers on Telex. Why This Project Matters Explore my agent here: https://telex.im/telex-ai-intergration/home/colleagues/019a4ea1-f657-73b3-8499-57b769c9ce51/019a4ea1-b942-73af-823c-1aa0c72c8edb Learn more about Telex here: Telex.im Java #SpringBoot #AI #GoogleGemini #BackendDev #Webhooks  ( 7 min )

The cryptocurrency market is notorious for its volatility, and sudden crashes are not uncommon. One such scenario saw a token lose 70% of its value overnight. Analyzing this case shows that survivors aren’t the emotional investors — they are those applying a systematic approach to market monitoring and risk management. Understanding Market Collapse Dynamics Liquidity vanishes, making even small orders trigger large price swings. Whale exits create a cascade of liquidations. Panic spreads, amplifying the drop and creating short-term liquidity gaps. Understanding these mechanisms allows analysts to anticipate risks and respond proactively. Monitoring Tools That Give an Edge Volume and liquidity: determines whether positions can be entered/exited without significant slippage. Whale movements: early signals of market shifts. On-chain analytics: wallet activity, token distribution, large transfers — indicating accumulation or sell-offs. These tools help minimize risk and identify critical entry/exit points. The difference between survival and losses lies in discipline and systematization: Portfolio diversification: reduces exposure to a single position. Stop-losses and position sizing: protect capital from sudden drops. Plan B scenarios: clear protocols for market swings—whether minimizing losses or identifying new opportunities. After a crash, the market offers potential opportunities: Identify who has already exited—the “weak hands.” Evaluate support zones and potential buy points. Follow a predefined plan, not emotions. An analytical approach allows strategic entries even after sharp declines. Read this cool article for the more info Sum Up A 70% token drop isn’t catastrophic for those who adopt a systematic approach. Lessons include deep market monitoring enables timely reactions, risk management and discipline are essential for survival and of course understanding that crashes are opportunities for analysis and discovering new entry points.  ( 6 min )

PiterTrade.ru — это проект, в котором я объединяю технологии, автоматизацию и современный подход к электронной коммерции. Недавно я реализовал новый функционал: умный фильтр товаров для категории «Промышленные масла». В этом посте расскажу, как он работает и какие технологии использовал. 🚀 Зачем нужен фильтр в каталоге технических масел Категория промышленных масел — одна из самых насыщенных на сайте. Пользователи часто ищут конкретные типы смазочных материалов по параметрам: вязкость, допуск, производитель, назначение. Без продуманного фильтра поиск превращается в хаос, а конверсия падает. Моя цель была — создать фильтр, который не просто сортирует, а помогает пользователю быстро находить нужный продукт, не теряя контекст. Для этого я проработал архитектуру на уровне данных и интерфейса.…  ( 7 min )

⚡ Introduction In today’s data-driven world, access to reliable and structured energy data is critical for decision-making, research, and policy planning. However, most open data platforms in Africa — such as the Africa Energy Portal (AEP) — present information in dashboard views, which makes large-scale analysis tedious. To address this challenge, I built a fully automated ETL (Extract, Transform, Load) pipeline that: Scrapes energy indicators for all African countries (2000–2024), Formats and validates the data for consistency, And stores it in a MongoDB database for easy access and analysis. This project uses Python, Playwright, and MongoDB, with automation powered by the lightweight dependency manager uv. While the Africa Energy Portal provides valuable country-level datasets, it do…  ( 8 min )

Introduction If you are a student, slow internet connection can create problems amid ongoing important lessons. If you are an administrator handling a big team, it may cause delay in responses and affect team productivity. In this guide, you’ll learn the most common reasons behind slow internet and actionable solutions to get your connection back on track Why Does Your Internet Slow Down? Your internet might slow down due to too many devices being connected to the same network. A very first way is to restart your internet modem and router. Unplug them for 30 seconds and then plugin them back. Within a few minutes your connection will be re-established. A1. You can use online tools like Speedtest or Fast.com to measure your download, upload and ping. Then you can compare the results with your internet plan. Q2. Can a VPN slow down the internet? A2. Yes, VPNs route your data through additional servers, which can reduce speed. Turning off a VPN temporarily will help to improve your performance. Q3. How can I improve Wi-Fi performance at home? A3. You can move a little closer to the router, switch to a less crowded Wi-Fi channel or you can use the 5 GHz frequency band for faster speeds. Q4. Does distance from the Wi-Fi router matter? A4. Absolutely yes. The far you are, the weaker the signal becomes. Walls in the house can also weaken the Wi-Fi performance. Conclusion xFanatical Articles - How to Move Files from a Shared Drive to My Drive in Google Drive How to Integrate Trello with Google Chat and Spaces Automate Recurring Out of Office Reply in Gmail For more article please visit our website: xFanatical Articles  ( 8 min )

Imagine being able to simulate your company’s daily operations before implementing them in the real world. That’s what Workflow Simulator does. 🚀 Core Layers: 🧩 Use Cases: 🛠 Tech Stack: Unity, PHP/MySQL backend, Python AI service. Check it out on GitHub Play the simulation right now for free I’d love feedback or contributions from developers interested in AI agents, WebGL environments, or digital twin systems. opensource #unity3d #ai #webgl #simulation #digitaltwin  ( 6 min )

You’ve spent months, maybe years, crafting elegant code, designing a robust architecture, and squashing bugs. Your B2B product is a technical masterpiece. You git push and... crickets. Building a great product is only half the battle. Launching it successfully is the other half, and for many developers, the Go-to-Market (GTM) strategy feels like a black box filled with marketing jargon. Let’s change that. A GTM plan isn't magic; it's a system. It's a deployment pipeline for your business. This checklist breaks it down into phases any engineer can understand: Staging (Pre-Launch), Production (Launch Day), and Monitoring (Post-Launch). Think of your GTM strategy as a configuration file. It defines the parameters for a successful deployment. const gtmConfig = { targetICP: "Series A SaaS, 5…  ( 9 min )

Everything Wrong With “Longlegs” in 24 Minutes or Less Cinemasins takes on Nicolas Cage’s eerie thriller Longlegs, tallying up every awkward moment, plot hole and over-the-top scare as only they can. With director Osgood Perkins soon dropping Keeper, it’s the perfect time to relive Cage’s “insane” leg antics and question why things got so weird. Want more cinematic nitpicking? Check out cinemasins.com, back the team on Patreon, fill out their sinful poll and join the fun on YouTube, Discord, Reddit, Instagram, TikTok and all their social channels. Watch on YouTube  ( 6 min )

Everything Wrong With Sinners In 15 Minutes Or Less CinemaSins delivers its trademark blend of playful nit-picking and genuine praise in a snappy rundown of what they cheekily dub “sins” in one of the year’s best genre films. Perfect for your Halloween binge, they gleefully roast (and celebrate) the movie in under 15 minutes while reminding you this flick truly rules. Writers Jeremy, Chris, Aaron, Jonathan, Deneé, Ian and Daniel also plug all the CinemaSins HQ essentials—hit up their site or Linktree, fill out the “sinful” poll, support ’em on Patreon, and catch bonus content on YouTube (@TVSins, @CommercialSins, @CinemaSinsPodcastNetwork), Discord, Reddit, Instagram, TikTok—and don’t forget Jeremy’s book! Watch on YouTube  ( 6 min )

💥 Why Most DevOps Engineers Stay on the Surface of Docker & Kubernetes (And Why Real Administration Still Scares Them) “Everyone talks about containers. 🧠 The Core Reason Most DevOps engineers focus on CI/CD and automation pipelines, not deep container administration — but Kubernetes and Docker administration require system-level, cluster-level, and networking-level expertise that many skip because it’s not “visible” in typical DevOps workflows 🧩 Introduction: The Hidden Side of DevOps In today’s cloud-native era, every engineer proudly says: “We’ve containerized our app and deployed it to Kubernetes.” It sounds flawless — until something breaks. When a pod keeps restarting, or the kubelet stops responding, or Docker daemon hangs — suddenly everyone turns to the Kubernetes admin. But ho…  ( 9 min )

🎉 Week 5 of ML Zoomcamp was all about Deployment and getting our ML models into production. Learned about Saving and loading models Flask web services Churn model deployment with Flask Virtual environments with Pipenv Docker containerization AWS Elastic Beanstalk deployment From local development to cloud deployment, models can now be used by end users  ( 6 min )

Hey everyone! remaking the service "Aspxone Builder" which is this app you know and love: Anyways, this change may be a bit of a shift. But we need to modernize it a bit. It will come out not in Event D-II/D-2 but after that in November. Thanks for your attention!  ( 6 min )

When AI Fills the Gaps, You Should Think Through TL;DR: Workslop happens when you accept AI-generated code that looks fine but lacks understanding, structure, or purpose. Hollow logic Unclear or ambiguous intent Misleading structure Disrespect for human fellows Missing edge-cases Fake productivity Technical debt Validate generated logic in real world scenarios Rewrite unclear parts Add domain meaning Refactor the structure for clarity Add a human peer review Clarify the context If you want, I can create a full list of 25+ solutions to completely fight workslop in teams and code. Refactoring 002 - Extract Method Maxi Contieri ・ Nov 25 '21 #refactoring #oop #webdev #codenewbie Refactoring 005 - Replace Comment with Function Name Maxi Contieri ・ Jun 7 '22 #java…  ( 24 min )

When working with LLMs, most developers send structured data as JSON. LLMs don't parse JSON like software does. text, and we pay for every token — quotes, brackets, spaces, commas, everything. Result? This is exactly why TOON (Token-Oriented Object Notation) was created. TOON = a compact data format designed for LLM input. reduce token usage remain human-readable preserve structure without heavy syntax TOON borrows ideas from: Format Borrowed Concept YAML indentation for structure CSV table-like lists for repeated fields The goal: minimum characters, maximum clarity. JSON { "tags": ["chill", "lofi", "study"] } TOON tags(3) - chill - lofi - study Same meaning. Benefit Impact Token-efficient ~30–60% fewer tokens in tests Faster prompts Less text to process Readable Easier debugging + tracing LLM-aware format Designed for prompt input, not APIs Flat user dataset → query LLM Format Prompt Tokens Total Tokens JSON 757 797 TOON 460 500 ✅ ~40% reduction with zero data loss. JSON approach const input = JSON.stringify(data) sendToLLM(input) TOON approach import { encode } from "@microsoft/tone" const input = encode(data) sendToLLM(input) Clearer. Smaller. Faster. Flat JSON → TOON ✅ efficient Nested JSON → TOON ❌ can cost more tokens If your data has nested objects, flatten first before encoding. Use TOON for: Don’t use TOON for: TOON isn’t replacing JSON — both have roles. JSON TOON Best for machines & APIs Best for LLM input payloads Heavy syntax Lightweight Universal Optimized for tokens As LLM workloads scale, token efficiency becomes engineering. TOON is a practical optimization worth exploring for real-world AI development.  ( 7 min )

The Hidden Lessons Internships Teach Beyond Technical Skills Introduction Understanding the Real Meaning of Responsibility The Power of Professional Communication Learning Emotional Intelligence at Work The Art of Taking and Applying Feedback Time Discipline and Self-Management The Importance of Adaptability Building Confidence Through Experience Respecting Diversity and Work Culture Resilience: Learning to Bounce Back from Challenges Discovering Your Work Identity Conclusion The true value of an internship lies far beyond learning tools or completing assignments. It lies in character building, emotional growth, and professional awareness. Every task completed, every feedback received, and every challenge faced during an internship becomes a life lesson — one that shapes integrity, confidence, and adaptability. Technical skills might help you get the job, but these hidden lessons help you grow, lead, and sustain in your career. At Well Spring Talent Solutions, we design internships that go beyond the ordinary. Our programs ensure that every student not only gains technical proficiency but also develops the human, emotional, and ethical strength needed to thrive in any profession. Learn. Grow. Lead. That’s the Well Spring Talent way.  ( 11 min )

Nainital, also known as the “Lake District of India,” is a popular place for many travellers. It has beautiful lakes, tall snowy mountains, and amazing and vibrant markets; because of that, thousands of tourists are attracted every year. But generally, what happens is that many people usually make mistakes, causing their trip a hassle. The number of mistakes to be avoided from choosing the wrong hotels in Nainital to missing out on original local experiences. This guide will help you understand what not to do in Nainital so you can enjoy your trip stress-free. Before discussing mistakes, let’s understand why Nainital is so popular. This city provides a beautiful view of the lake, places to stay, amazing markets on the Mall Road, as well as the best weather for a trip to the mountains. Acc…  ( 10 min )

Is Quantum Computing the Future? Let's Demystify It! Ever heard of quantum computing and thought, "That sounds like something straight out of a science fiction movie?" You're not alone! The term can be intimidating, conjuring images of complex equations and futuristic technology. But what if I told you the core concepts aren't as mind-bending as you might think? Let's break down the basics and explore why this emerging field is generating so much buzz. Imagine a world where we can design new drugs in a fraction of the time, develop revolutionary materials with unprecedented properties, and break even the most complex encryption codes. That's the promise of quantum computing. Classical computers, the ones we use every day, store information as bits, representing either a 0 or a 1. Quantum…  ( 8 min )

AWS Web Application Firewall (WAF) is a critical security layer that often deploys Challenges (HTTP 202) or Managed Captchas (often HTTP 405) to protect web resources from automated threats. While these mechanisms are effective, they pose a significant barrier to legitimate automation tasks like web scraping, monitoring, and testing. This article provides a practical, technical guide focused on using the specialized service CapSolver with Node.js to programmatically bypass AWS WAF protections. We will detail the WAF’s mechanism, demonstrate how to extract the necessary parameters using cheerio, and provide a complete, runnable Node.js script that leverages CapSolver’s AntiAwsWafTask to obtain the required aws-waf-token cookie. The emphasis is on a production-grade solution that is technica…  ( 11 min )

Enterprises today manage digital experiences for users across the world. They operate websites, mobile apps, and secure platforms that must recognize user origin instantly. With cyber threats, regional compliance, and personalization needs rising, accurate location data has become critical. That’s why many global organizations now rely on global IP coverage API services as a core part of their infrastructure. IP intelligence helps organizations understand where users are connecting from, verify trust, and adapt experiences in real time. It allows them to protect accounts, reduce fraud, and deliver relevant content without disrupting user experience. For large-scale digital businesses, this isn’t just beneficial—it's essential for growth. A global IP coverage API is a service that maps IP a…  ( 9 min )

In today’s fast-paced world of software delivery, releasing new features quickly while maintaining stability has become a balancing act for development teams. Traditional deployment methods often involve significant risk—pushing a new version of software to all users at once can lead to unexpected bugs, downtime, or performance issues. This is where canary testing shines. Inspired by the “canary in a coal mine” metaphor, canary testing allows teams to release updates to a small subset of users first, monitor how the system behaves, and then gradually expand the rollout. It’s a smart and controlled way to validate changes in production before a full release. However, while canary testing sounds straightforward in theory, implementing it effectively comes with several real-world challenges. …  ( 9 min )

As someone who writes about AI, Excel and workflows, I figured: Why not test the writing tools themselves? I compared Grammarly and ChatGPT side-by-side on a real blog post. Key findings: Both caught grammar errors, but ChatGPT explained why. ChatGPT rewrote tone and structure; Grammarly stuck to correction. For bloggers who care about SEO and readability, ChatGPT pulled ahead. Workflow summary: Draft → Grammarly → ChatGPT → Final. Full results & detailed breakdown → (https://www.vevtech.blog/2025/11/chatgpt-vs-grammarly-best-grammar-checker.html)] Feedback? I’d love to hear which tool you prefer for dev-blogs, documentation or tutorials.  ( 6 min )

AI development is evolving rapidly. While many developers have experimented with making simple API calls to language models, the real leverage lies in building AI agents, autonomous systems that can reason, use tools, and iterate on tasks without constant handholding. In this tutorial, you'll learn how to build an AI summarizer agent using Mastra, a TypeScript-first framework designed specifically for agent development. By the end, you'll have a working agent that can automatically fetch content from URLs and generate intelligent, structured summaries. Basic TypeScript and Node.js knowledge Node.js v18 or higher installed A free Google AI API key (get one here) Before we start building, let's quickly talk about what Mastra actually is and how its main parts (agents, tools, and workflows) a…  ( 12 min )

So here's what's been happening lately. After my contract ended with my last client, I decided to take a different path than usual. Instead of immediately jumping into the next opportunity, I'm working on NeoHaskell full-time while living off my savings. I know that might sound concerning to some, but there's actually a solid plan behind this decision. The goal is straightforward: turn NeoHaskell into something that can sustain itself financially. Not just as a hobby project, but as something I can actually live from. The approach I'm taking is very production-focused. I'm starting with the core infrastructure that any real application needs - an event store built on PostgreSQL. Nothing experimental or overly clever, just reliable technology that works. After that comes the command handlin…  ( 7 min )

Two years ago, I walked into my first ever crypto event as a complete outsider. When the presenter asked a question, I raised my hand. Boom $3 straight to my wallet for a correct answer. I was genuinely excited. Real digital money I could actually spend, right? Wrong. What followed was a painful lesson in crypto's biggest UX flaw: I needed to buy a completely different token just to move the money I'd earned. Standing there confused, holding dollars I couldn't spend without SOL I didn't have, I thought exactly what millions of first-time users think: this whole thing is a scam. That frustration stuck with me. Not because I'm bitter about three dollars, but because I realized this broken experience is repeated thousands of times daily across the ecosystem. Kora is built to remove that frict…  ( 20 min )

‘The Truman Show’ Rewatch with Bill Simmons, Glen Powell & Chris Ryan Bill Simmons and Chris Ryan team up with actor Glen Powell for The Ringer’s Rewatchables deep dive on Jim Carrey’s 1998 classic, The Truman Show. They kick off with Glen’s fresh perspective on the film, debate the ultimate rewatchable scene, and wrap up with their signature “Categories” segment. Chapters: • 0:00 Cold Open • 1:59 Glen Powell on The Truman Show • 37:43 Most Rewatchable Scene • 42:19 The Categories Sponsored by State Farm. Don’t forget to subscribe to The Ringer channels! Watch on YouTube  ( 6 min )

Everything Wrong With Sinners In 15 Minutes Or Less is a tongue-in-cheek Halloween special where the CinemaSins crew gleefully rips apart “Sinners,” one of the year’s standout genre films, in record-breaking time. Expect their signature blend of snarky commentary, rapid-fire “sins” and plenty of movie trivia to keep things rolling. Along the way they plug their main site (cinemasins.com), various YouTube channels (@TVSins, @commercialsins, @cinemasinspodcastnetwork), a fun audience poll, and their Patreon. Plus, meet the writing squad (Jeremy, Chris, Aaron, Jonathan, Deneé, Ian and Daniel) and follow them on Twitter and Instagram for even more movie-loving mischief. Watch on YouTube  ( 6 min )

Predator 2 drops Schwarzenegger’s jungle for Danny Glover battling a meaner Predator amid a sweltering, crime-ridden 1990s LA. The heatwave and gang wars give the sequel a gritty, urban edge. It might miss some of the original’s jungle charm, but Gary Busey’s wild energy and a fresh take on alien hunting make this “Caravan of Garbage” review surprisingly fun—if you’re up for something different. Watch on YouTube  ( 6 min )

Struggling with physics homework? Preparing for exams? Or just curious about how to solve complex physics problems? Meet PhysicsGPT, your free AI-powered physics assistant that delivers expert-level solutions with detailed, step-by-step explanations. PhysicsGPT is a specialized AI tool designed exclusively for physics problem-solving. Unlike general-purpose AI assistants, PhysicsGPT has been trained specifically on physics problems across all major domains, achieving an impressive 97.3% accuracy rate with access to over 20 million physics problems in its database. PhysicsGPT handles problems across all major physics disciplines: Classical Mechanics: Newton's laws, kinematics, dynamics, momentum, energy, and rotational motion Electricity & Magnetism: Circuit analysis, resistors, capacitors,…  ( 8 min )

Data annotation is the unsung hero of successful AI model training. AI models struggle without meticulously labeled data. They cannot make precise predictions or execute tasks effectively. Traditionally, manual labor was heavily relied upon. This process proved time-consuming and financially burdensome. Automated data labeling is transforming data annotation. It makes it faster, more accurate, and remarkably scalable for modern AI. Data annotation supplies structured, labeled datasets. These datasets serve as the bedrock for training AI models. These labels empower AI to comprehend and categorize data. This includes identifying objects in images and detecting speech patterns. It also includes discerning sentiment in text. Even the most advanced AI algorithms falter without high-quality dat…  ( 11 min )

Are you a manga fan who's tired of waiting for official translations? Or perhaps you're a translator looking for ways to speed up your workflow? Let me introduce you to an incredible free tool that's revolutionizing how we read manga in different languages. Manga Translator is a completely free, AI-powered web application that automatically translates manga and comics into over 20 languages. What makes it truly special is that it doesn't just translate text - it intelligently replaces the original text in speech bubbles while preserving the artwork quality. The tool uses cutting-edge Optical Character Recognition (OCR) to accurately detect and extract text from manga panels, even when the text is stylized or placed at unusual angles. Whether you want to translate Japanese manga to English,…  ( 7 min )

Anything that runs on your computer or phone needs memory to work. RAM (Random Access Memory) – temporary, fast, used while apps are running. When your RAM gets full, your system may start using the hard drive as slower “virtual memory.” How Memory Works in Apps: When you open an app, it loads images, data, and resources into RAM so it can run quickly. But that’s not always the case... What Is a Memory Leak? Imagine you invite a friend to stay at your house for one night — but she decides to live in your room forever. The app borrowed some memory temporarily, but instead of letting it go, it keeps holding onto it even when it’s no longer needed. Over time, the app’s memory usage keeps growing. The app becomes slower The phone heats up Or it crashes with “out of memory” errors Why It Happens Memory leaks usually occur when developers forget to: Remove event listeners Clear timers or intervals Release references to images, arrays, or objects no longer needed For example: useEffect(() => { Or when large objects are kept in memory: const bigImage = loadImage('banner.png'); How Developers Prevent It: Developers use profiling tools to detect leaks — like: Android Studio Profiler LeakCanary Flipper (React Native) They also: Clean up listeners and intervals in useEffect Release images and cache data properly Move heavy data to the server, not the client app In Short:  ( 7 min )

Introduction Creating visually appealing designs often requires text that breaks away from the traditional straight line. Whether you're designing logos, social media posts, or marketing materials, curved text adds that professional touch that makes your work stand out. Today, I'm sharing a fantastic free tool that makes creating curved text incredibly simple. Curved-Text.com is a free online tool that lets you create beautiful curved text, circle text, wavy text, and text on custom paths - all directly in your browser with no signup required. Circle Text: Perfect for creating circular logos and badges with text inside or outside rings Arc Text: Ideal for arched headlines and curved titles Wavy Text: Great for dynamic social media captions and eye-catching designs Custom Path: Draw any l…  ( 7 min )

Certainly! Below is a Google EEAT-compliant, high-readability blog article designed for your e-commerce independent site, targeting the U.S. and European markets. The content is optimized for SEO, user engagement, and natural tone, ensuring it doesn't appear AI-generated. Gaming Wrist Rests: Do I Need It? In the world of gaming setups, comfort is key. Whether you're an avid gamer or someone who spends long hours in front of a screen, having the right accessories can significantly enhance your experience. One such accessory that has gained popularity in recent years is the gaming wrist rest. But the question remains: Do you really need one? In this article, we’ll explore the benefits, features, and considerations of gaming wrist rests, helping you determine whether this simple addition co…  ( 10 min )

What you'll learn By the end of this section, you'll: Understand how Docker networking works and why it's important for multi-container apps. Learn the difference between bridge, host, and overlay networks in Docker. Know how to expose ports using -p so services can communicate across containers or expose endpoints to your host. See how to connect multiple containers so they can communicate internally. Complete a hands-on project where a React app communicates with a Node.js backend over a shared custom bridge network in Docker. We'll start by understanding why Docker networking is important. When you're working on a project, it's rarely a single container doing all the work. You'll usually have a: backend API frontend application database sometimes a message broker ... with all running …  ( 20 min )

Automation is DevOps best friend... Until it silently bypasses your controls. "Auto" features meant to save time often become the biggest blind spots in your security model. We've been taught that automation equals reliability. Automate testing, automate deployments, automate infrastructure provisioning. The more you automate, the better your outcomes, or so the thinking goes. And don't get me wrong! I absolutely LOVE automate stuff! But here's what often gets overlooked: automation doesn't just accelerate your good practices; it also accelerates your bad ones. When you automate a flawed process, you get failures at scale, consistently and quickly. Worse, when automation bypasses human judgment in critical security decisions, you create systematic blind spots that are harder to detect than…  ( 12 min )

Spatial Reasoning Unleashed: Causal Language Models for Smarter Spatial Data Imagine predicting traffic flow with pinpoint accuracy, or forecasting weather patterns days in advance. Spatial data holds the key, but analyzing it efficiently has always been a challenge. We typically massage that spatial data into a linear sequence before feeding it to a language model. But what if we could use language models directly on the raw spatial data itself? Here's the breakthrough: we can apply causal masking – a core concept in language modeling where the model only sees past information – directly to spatial data. This might seem counterintuitive since spatial data isn't inherently sequential. However, surprisingly, a model trained on spatially masked data learns spatial relationships effectively…  ( 7 min )

Before the document starts, let's first take a look at the plugin with millions of downloads in the GOOGLE Plugin Market, which integrates the world's most advanced AI plugins: https://nbtab.com/?c=g This document systematically elaborates on the core implementation logic of AI systems represented by Large Language Models (LLMs), covering the entire technical process from underlying technical architecture to engineering implementation. By decomposing key links such as model structure, training mechanism, and inference deployment, it provides actionable technical references for technical R&D personnel, system operation and maintenance staff, and product designers, clarifying the transformation path of AI systems from "theoretical framework" to "practical products". AI Algorithm Engineers: S…  ( 13 min )

In a move that's likely to send shockwaves through the tech industry, Amazon Web Services (AWS) and OpenAI have announced a multi-year strategic partnership. This collaboration promises to accelerate the development of artificial intelligence (AI) technologies and further blur the lines between human and machine capabilities. The partnership will see AWS and OpenAI working together on several fronts: Exclusive use of AWS infrastructure: OpenAI will leverage AWS's comprehensive suite of cloud services, including compute, storage, and database solutions. This will enable OpenAI to scale its AI models and applications more efficiently. Access to proprietary technologies: AWS will gain access to OpenAI's cutting-edge AI technologies, including natural language processing (NLP) and computer vis…  ( 7 min )

Outil de Cybersécurité Moderne : Wireshark - Analysateur de Protocole Réseau Introduction Dans un monde de plus en plus connecté, la cybersécurité est devenue une préoccupation majeure pour les entreprises et les particuliers. Avec la multiplication des menaces en ligne, il est essentiel de disposer d'outils efficaces pour protéger les réseaux et les données sensibles. Parmi ces outils, Wireshark se distingue comme un puissant logiciel d'analyse de protocole réseau qui permet de surveiller le trafic réseau en temps réel et d'identifier les potentielles failles de sécurité. Wireshark est un logiciel open-source développé par la communauté des experts en sécurité informatique. Il est disponible gratuitement sur plusieurs plateformes, notamment Windows, macOS et Linux, ce qui en …  ( 7 min )

Uploading files is one of the most common operations in web and mobile applications, from profile pictures, invoices, and videos to uploading experimental files during pre-production or testing phases. Traditionally, files are uploaded directly to the backend server, which then forwards them to a storage service like Amazon S3. While this approach seems simple, it introduces serious performance bottlenecks and potential security risks. And here lies the real challenge: how can we upload large files without degrading performance or overloading the backend, and at the same time, without exposing our AWS credentials to the frontend, which would completely break security? I often ask this question during interviews, and many of my colleagues have faced it too. It’s not a trivial problem, it i…  ( 9 min )

Your first dev job will teach you more in three months than two years of tutorials ever could. Most juniors don’t believe that (I certainly did not). They’re stuck in the “just one more course” loop — convinced the next certification or project will finally make them ready. But real growth doesn’t happen before the job. It happens because of it. I applied to my first dev job feeling completely unprepared. Spent the first week thinking someone in HR had made a terrible mistake. And yet — within a month, I’d learned more about version control, debugging, and reading other people’s code than six months of online courses ever taught me. Because tutorials can’t simulate what it’s like to fix production bugs at 9PM or explain your logic during a code review. Once you’re in a real environment, everything shifts. You learn how to: Read messy legacy code and make sense of it. Ask better, sharper questions. Navigate feedback without taking it personally. Handle ambiguity when specs aren’t crystal clear. That’s the real developer education — and it starts on day one. Don’t just apply anywhere. Look for teams that actually invest in juniors. Green flags: Structured onboarding Pair programming Regular code reviews Patient seniors who want to mentor Red flags: No documentation Everyone’s too busy to help They expect you to “hit the ground running” on day one That feeling of not being ready? It never fully goes away. Even senior devs feel it. So apply anyway. Because the fastest way to grow is to start — not to prepare forever. You’ll learn by doing, failing, and improving. That’s how every great developer started.  ( 7 min )

Multi-tenancy is a fundamental architectural pattern for SaaS applications, allowing multiple customers (tenants) to share the same application infrastructure while maintaining data isolation. Choosing the right database pattern is crucial for scalability, security, and operational efficiency. When designing a multi-tenant application, you have three primary database architecture patterns to choose from: Shared Database, Shared Schema (most common) Shared Database, Separate Schema Separate Database per Tenant Each pattern has distinct characteristics, trade-offs, and use cases. Let's explore each in detail. This is the most common multi-tenancy pattern, where all tenants share the same database and schema, with a tenant_id column used to distinguish tenant data. Architecture ┌─────────────…  ( 13 min )

The Basics Let's start with the very basics: What is a PWA? It stands for Progressive Web App, and to really understand the full capabilities of them, you first need a base level of understanding of both a normal website and a platform-specific app. So what's a website? Well, as odd as the question may seem, there's several traits to a website that are important to consider when making or looking into a PWA. A website is something hosted on the internet - obviously, yes, but it means a few things for us as users and developers. A user doesn't download a website to their computer; it doesn't take up space, it isn't something you need to install, it's just hosted on the internet. Websites, BEING hosted on the internet, are inherently compatible with pretty much any device that can get an i…  ( 9 min )

How to Create an SPL Token-2022 on Solana: No-Code Guide to Deploy Tokens with Extensions Hey devs! Want to launch your own token on Solana's blazing-fast blockchain but intimidated by Rust or smart contracts? You're in luck. With SPL Token-2022, Solana's upgraded token standard, you can create feature-rich tokens (think transfer fees or soulbound NFTs) without writing code. This guide uses Web3.Market's Solana Token Generator to deploy a token in minutes—perfect for DeFi experiments, NFT projects, or community governance. Disclaimer: Token creation involves real SOL fees and potential legal risks. Always consult legal experts, audit your tokenomics, and DYOR. This is educational only—never invest more than you can afford to lose. By the end, you'll have a live token ready for Raydium li…  ( 9 min )

The early bird catches the worm, which must appeal to the fish, not to the fisher, and eating a frog or low-hanging fruits are proverbial allegories of productivity strategies found in coaching and thought leadership business advice. Picking so-called "low hanging fruits" stands for starting with easy, nearby opportunities promising perceivable quick wins like we would often do to please new customers when showing them a preview. "Eating a frog" means accepting an unpleasant challenge, like solving a tricky error or mastering a dreaded negotiation. The AI-generated image above illustrates the idea of low hanging frogs and a little life-hack strategy combining some of the sayings metioned before: identify a small task that you could tackle and finish early in the morning to start your day with a feeling of success and achievement. A task that should be small and simple enough to finish it successfully in a short time without too much effort, but not be too insignificant which would make the feeling of success merely symbolic. Ideally, that's something slightly unconfortable for a creative coder, like picking up the phone and holding the line until someone picks up to acknowledge an appointment, answering an email, or looking up a piece of information that got lost. It could also be writing a small blog post like this one, for the sake of consistency in the sense of posting regularly. Note that all images have been generated using AI, based on a spontaneous wordplay idea. These are my "low-hanging frogs" for today. Hope that you like it!  ( 6 min )

Math.random is flawed, as bold a claim as that may seem. It does what it sets out to do, It generates a number between 0 and 1 that’s random… Right? Wrong! Math.random doesn’t actually produce a truly random number. The number it creates is deterministic, meaning that it’s predictable. Now maybe for a quick dice roller or game feature, this won’t matter, but for security, this matters a lot. Computers, too smart for their own good So, why is this even a problem in the first place? For one, we can't generate truly random numbers, not easily at least. Computers are very bad at generating random numbers. Without some kind of outside influence, it’s hard to get anything that is truly random. Computers are good at math, but not at randomness. The problem with any kind of “outside influence”, …  ( 9 min )

Math.random is flawed, as bold a claim as that may seem. It does what it sets out to do, It generates a number between 0 and 1 that’s random… Right? Wrong! Math.random doesn’t actually produce a truly random number. The number it creates is deterministic, meaning that it’s predictable. Now maybe for a quick dice roller or game feature, this won’t matter, but for security, this matters a lot. Computers, too smart for their own good So, why is this even a problem in the first place? For one, we can't generate truly random numbers, not easily at least. Computers are very bad at generating random numbers. Without some kind of outside influence, it’s hard to get anything that is truly random. Computers are good at math, but not at randomness. The problem with any kind of “outside influence”, …  ( 9 min )

Image Source: unsplash Vibe coding does not fit everyone, but you might find it helpful on your coding path. Many developers use AI tools daily, and you might be one of them. Some developers use ChatGPT, Copilot, or other tools to help speed up their coding. You might be new to coding and depend on AI for code completion or debugging. You could also be an experienced engineer using AI to multiply your productivity. Vibe coding gives you a chance to blend your intuition with technical checks. If you learn to mix your vibe with validation, you can shape the future of coding. Your vibe coding journey depends on your learning goals and how you want to grow as a coder. Vibe Coding Overview Image Source: pexels What Is Vibe Coding You might wonder what vibe coding means. Vibe coding is an approa…  ( 18 min )

When You Have Great Ideas But Struggle to Write About Them Mygom.tech, our team churns out proof-of-concepts and internal tools that actually solve real problems. But when it comes to documenting those wins? That's where we hit a wall. We had a backlog of case studies and technical blogs - tools that could help hundreds, just sitting in Notion because nobody wanted to write them. Our engineers dreaded spending hours on content. We tried outsourcing. $300 per post and still, it never sounded like us. So we built what we needed: an AI content generator for PayloadCMS that transforms a simple idea into a researched, brand-aligned article in minutes. Not another generic AI writer - something smarter, tailored for teams like ours who need deep technical accuracy and real voice. Why does this ma…  ( 12 min )

In a previous blog, I walked through how to set up SFTP on Azure step-by-step through the Azure Portal. That’s a great way to get familiar with the service, but if you're deploying this regularly, across different environments, for multiple clients, or as part of a DevOps process, you need a way to automate it. That’s where Terraform comes in. Terraform is an Infrastructure as Code (IaC) tool that allows you to define and deploy Azure resources using configuration files. This means you can create your Azure SFTP setup in a version controlled way and replicate it in multiple environments with minimal effort. I’ve published a GitHub repository containing the Terraform configuration you need to create: An Azure resource group A premium block blob storage account SFTP enabled on that storage…  ( 8 min )

In this episode of The Rewatchables, Bill Simmons and Chris Ryan welcome actor Glen Powell to revisit Peter Weir’s 1998 classic The Truman Show—Jim Carrey’s unforgettable turn alongside Laura Linney and Ed Harris. They chat about Powell’s unique take, swap memories of their favorite scenes, and debate what makes the film endlessly rewatchable. Timestamps guide you straight to the goods (1:59 for Powell’s thoughts, 37:43 for the top rewatchable moment, 42:19 for their signature category breakdown), all wrapped up with a State Farm sponsor shout-out and links to subscribe to The Ringer’s channels. Watch on YouTube  ( 6 min )

Predator 2 ditches the jungle and Schwarzenegger for an urban, sun-scorched L.A., where Danny Glover goes head-to-head with an upgraded Predator amid a brutal heat and crime wave. It may lack Arnie’s one-liners and jungle vibes, but the new setting and monster keep things fresh. With a splash of Gary Busey and a healthy dose of neon-drenched chaos, this Caravan of Garbage review is a reminder that the franchise can still surprise you—as long as you don’t expect an exact replay of the original. Watch on YouTube  ( 6 min )

As developers, we love automation — but let’s be honest, building every single workflow manually is time-consuming. Enter NapNox AI Workflow Builder, a new tool powered by Gemini AI that lets you build complex automation workflows by simply describing what you want. Example: “I want to post every new blog article automatically to Twitter and LinkedIn.” That’s it. In seconds, the AI returns: A prebuilt n8n workflow JSON ready to copy-paste A step-by-step implementation guide Suggested tools & connections (Twitter API, LinkedIn OAuth2, RSS, etc.) You can choose filters like: Platform → n8n, Zapier, Make Type → Social Media, CRM, Analytics Tools → Twitter, Notion, Gmail, etc. And the builder does the rest — combining your inputs into a fully functional workflow with editable nodes. This isn’t just for no-coders. Even devs can speed up testing, mockups, or prototypes with it. It’s like ChatGPT — but acts as an Agent for automation workflows. Want to try it? AI Workflow Builder  ( 6 min )

Hey fellow coders! I'm Rajni again, that Bangalore-based tinkerer who's equal parts caffeine and keyboard clacks. Last time I geeked out on privacy scrapers; now, let's talk PDF magic. Ever needed to whip up a quick online tool to convert docs to PDF? Maybe for a blog, side hustle, or just to flex some Python? I've been there—frustrated with clunky online converters that watermark everything or nag for subs. So, I rolled my own: a simple Python backend using FPDF (free, no API drama), wrapped in a Flask web app for that "online" vibe. Then, for the WordPress crowd (hey, not all of us live in CLI land), I'll show how to embed a free version right into your site without dropping a dime. This ain't theory—it's battle-tested code I forked on my GitHub (rajni-dev/pdf-converter-tool). Fork it, t…  ( 8 min )

Hi DEV Community! 👋 I’m Mohamed Riham, currently pursuing my BSc (Hons) in Data Science after completing my Higher National Diploma (HND) in Software Engineering. This is not just another academic update — this is the story of how I found my path, why I transitioned from Software Engineering to Data Science, and what truly led me to make one of the most defining decisions of my life. When I began my HND in Software Engineering, my goal was very clear: Learn programming Build real projects Become a software engineer And I did exactly that. Programming fundamentals Databases & SQL Web technologies Object-Oriented Programming (OOP) Software Engineering principles I loved building systems, solving problems, and turning ideas into products that worked. gap — a curiosity that tradit…  ( 9 min )

🕹️ From Play-to-Earn to Play-to-Own: Understanding Metaverse & Web3 Gaming Web3 is redefining how we play, build, and trade inside games. How Metaverse worlds use blockchain Why Web3 Gaming empowers creators & players The future of interoperable digital assets 📺 Watch full explanation: [YouTube Link] and join the Web3 Explained Series by Kishan (Founder of OmniRadhaNexus). Web3 #Gaming #Blockchain #Metaverse #GameDev  ( 6 min )

When you first look at a distributed architecture diagram with services scattered across multiple cloud providers, regions, and continents, it's easy to feel overwhelmed. Network partitions, timeouts, SSL handshake failures, connection drops—the list of things that can go wrong seems endless. And they do go wrong, constantly. In our globally distributed application running across 5 regions on Fly.io, we see these failures every single day. Phoenix.PubSub disconnecting from Redis. PostgreSQL protocols timing out mid-query. RabbitMQ brokers closing connections unexpectedly. It looks scary, and honestly, it should be. But here's the thing: with the right architectural choices, the right technology stack, and a healthy respect for the fallacies of distributed computing, you can build systems t…  ( 10 min )

Java String getBytes() Explained: Stop Letting Character Encoding Ruin Your Code Let's be real for a second. When you're starting with Java, String objects feel like magic. You can add them, split them, compare them... life is good. Then, you need to save that text to a file, send it over a network, or maybe hash it for a password. Suddenly, the universe throws a scary term at you: byte arrays. And right there, in the middle of the confusion, is the getBytes() method. You've probably seen it, maybe even used it with a shrug, hoping it would just work. Spoiler alert: sometimes it doesn't. You end up with garbled text, weird question marks (�), or characters that look like they're from a alien language. Ever seen "Café" instead of "Café"? Yep, that's the enemy we're fighting today. Don't …  ( 10 min )

wool curtains for winter, but here's the problem—most people don't know how to hang them correctly. If your curtains have both a wool layer and a blackout layer, which side should face the cold glass? Get this wrong, and you're wasting money on heating costs. Wool isn't just for sweaters. It's one of nature's best insulators, and here's why it matters for your windows. Here's what you've been waiting for—the definitive answer. For most wool curtains with a blackout layer, the blackout side should face the window. The wool side should face your room. There are exceptions, though. Sometimes wool should face the window instead. Single-layer pure wool curtains have no coating, so the wool itself must directly block the cold air. In this case, hang them as close to the window as possible—ideall…  ( 11 min )

Stop Fumbling with '+' in Java: A No-BS Guide to Mastering String.format() Let's be real. If you're learning Java, you've probably built a thousand strings using the good ol' + operator. java This is where Java's String.format() method swoops in like a superhero. It's your secret weapon for creating clean, professional, and dynamically formatted strings without breaking a sweat. In this guide, we're not just going to skim the surface. We're going to dive deep into String.format(), break down its syntax, explore killer examples, and look at real-world use cases that you'll actually encounter. By the end, you'll wonder how you ever lived without it. Ready to write code that doesn't just work, but looks good doing it? Let's get into it. What is String.format(), Actually? Think of it as a te…  ( 10 min )

This is the fifth article in our series, where we design a simple order solution for a hypothetical company called Simply Order. The company expects high traffic and needs a resilient, scalable, and distributed order system. In the previous articles: Simply Order (Part 1) Distributed Transactions in Microservices: Why 2PC Doesn’t Fit and How Sagas Help Simply Order (Part 2) — Designing and Implementing the Saga Workflow with Temporal Simply Order (Part 3) — Linking It All Together: Connecting Services and Watching Temporal in Action Simply Order (Part 4) — Reliable Events with the Outbox Pattern (Concepts) Simply Order (Part 5) — Hands-On: Building the Outbox Pattern for Reliable Event We built the core services — Order, Payment, and Inventory — and discussed different approaches for handl…  ( 10 min )

I still remember when a project plan was a Gantt chart and a good day meant “no blockers.” Today, my mornings start with AI—asking a large language model to summarize sprint notes, rewrite stakeholder updates, or analyze why our QA velocity dipped. It’s astonishing how quickly LLMs in Project Management have become a routine part of project delivery. But with speed often comes confusion. According to the State of AI in Business 2025 report by MLQ.ai, over 80% of enterprises are piloting AI in at least one workflow, yet fewer than 15% have integrated these tools into their core business processes. That gap mirrors what I see on the ground—teams experimenting enthusiastically but lacking the guardrails, governance, and metrics needed to make AI a reliable part of project management. In my ex…  ( 15 min )

A program is fundamentally about two things: Allocating Memory: Where do we store our data and variables? Parsing and Executing: How do we read and run our instructions? To run our JavaScript code, we need an engine that translates it into machine code. Browsers have different engines, like V8 in Chrome and SpiderMonkey in Firefox. For server-side execution, we use environments like Node.js, which is built on the V8 engine. The JS Engine is the "heart" where your code is actually understood and executed. Inside the engine, we have two key parts: Memory Heap: This is where memory allocation happens. When you create variables, objects, or functions, they get allocated space in the heap. This is why we need to be mindful of memory leaks. For example, by avoiding unnecessary global variables …  ( 8 min )

I spent three years building a feature nobody used. It was technically brilliant—clean architecture, comprehensive test coverage, performant at scale. The code review comments were glowing. The tech lead called it "textbook engineering." But when we shipped it, usage metrics flatlined. Support tickets flooded in asking how to accomplish tasks the feature was specifically designed to handle. The problem wasn't the code. The code was perfect. The problem was that I built what made sense to me as a developer, not what made sense to the humans who would actually use it. I had optimized for technical elegance while completely missing how people actually think, work, and make decisions. I built a solution to a problem I understood intellectually but had never observed behaviorally. And in doing …  ( 12 min )

CircularRange is a native web component for creating circular range sliders without any dependencies. Perfect for gauges, speedometers, and custom controls. Key features: Zero dependencies, single JavaScript module Full keyboard navigation and ARIA support 20+ CSS variables for complete styling control Works with standard form submissions Supports custom arcs, reverse direction, and multi-labels Built on modern web standards with Shadow DOM encapsulation and ElementInternals API integration. Great for dashboards, audio controls, and IoT interfaces where circular inputs make more sense than linear sliders. 👉 Blog Post 👉 Live Demo  ( 6 min )

Every Sunday, I Refactor Old Code and It’s the Smartest Habit I’ve Ever Built Hadil Ben Abdallah ・ Nov 4 #webdev #css #javascript #python  ( 5 min )

In today’s fast-paced digital landscape, businesses and organizations are continuously seeking innovative solutions to enhance customer engagement, streamline operations, and improve overall efficiency. One technology that has gained immense popularity in recent years is chatbot services. These AI-powered virtual assistants are transforming the way businesses communicate with their audiences, providing instant, personalized, and round-the-clock support. This article explores the world of chatbot services, their applications, benefits, and the factors to consider when implementing them. What Are Chatbot Services? Chatbot services refer to software applications that use artificial intelligence (AI) and natural language processing (NLP) to simulate human conversation. These chatbots can inter…  ( 8 min )

In today’s fast-moving digital world, customers want quick, reliable answers. When they have questions about your product or service, the first place they turn to is often your knowledge base. But here’s the catch: if your knowledge base isn’t well designed, it can frustrate users instead of helping them. A thoughtfully designed knowledge base is more than a support hub — it’s a key factor in driving customer satisfaction, trust, and loyalty. Let’s break down how design directly shapes the customer experience. A knowledge base is a centralised hub where users can find answers to their questions — FAQs, tutorials, troubleshooting steps, product guides, and more. It’s the foundation of self-service support, allowing customers to help themselves without contacting a support agent. Accor…  ( 8 min )

I don’t have a fancy morning routine. I usually wake up late. Scroll LinkedIn. Check Dev.to... Not to fix bugs. Not to build new features. That’s my weird little ritual. It started accidentally. final_version_realfinal folders. The code was full of console.logs, duplicated functions, and CSS that looked like spaghetti. One hour later, I wasn’t just refactoring, I was learning. I don’t follow a strict process. Sometimes I realize how much I’ve improved. weirdly creative past-me was. But that’s the beauty of it, it’s raw, honest progress. Refactoring doesn’t mean rewriting everything. Renaming bad variables like temp_data_final3 to something human-readable. Removing unnecessary code that does nothing. Replacing old logic with something more elegant. Adding comments where my past self left c…  ( 10 min )

When Ads Become Helpful Suggestions Instead of Interruptions In the rapidly evolving landscape of AI applications, developers face a common dilemma: How can you monetize your innovative app without compromising the user experience? Enter Monetzly — the first platform that empowers developers to monetize their applications while seamlessly integrating context-aware advertising. As AI applications proliferate, many struggle with sustainable monetization strategies. Relying solely on subscriptions or paywalls can alienate users, stifling engagement and growth. What if there was a way to generate revenue without disrupting the user experience? Monetzly changes the game with its unique dual-earning model. Imagine a scenario where your AI app not only engages users but also provides them with …  ( 7 min )

When I first started building Flutter apps, state management felt overwhelming. I made some mistakes that cost me hours — here are the top 3 I wish I knew earlier 👇 setState Everywhere At first, I used setState() for almost everything. ✅ Mistake: It caused unnecessary rebuilds and made debugging harder. 💡 Tip: Use ValueNotifier, Provider, or Riverpod for parts of the UI that don’t need a full rebuild. I tried every package I found online — Bloc, MobX, Redux — even for tiny apps. ✅ Mistake: Overkill = slower dev + more boilerplate. 💡 Tip: Start simple: Provider or Riverpod is enough for most small to medium apps. I jumped straight into coding without thinking about how data flows. ✅ Mistake: Hard-to-maintain code, messy state, and bugs everywhere. 💡 Tip: Spend time planning state hierarchy: which widgets own the state, which widgets just listen. State management isn’t just about code — it’s about structure and efficiency. Pick the right approach for your app size, and think about data flow early. I’m Bayajit Islam, a Flutter frontend developer who loves building clean, maintainable apps. Small mistakes early can save you huge headaches later 🚀  ( 6 min )

This is a submission for Frontend Challenge - Halloween Edition, CSS Art. Halloween has always been about that magical mix of spooky and beautiful — the glowing moon, the flying bats, and the mysterious night sky. HTML and CSS (no images or JS needed!). The goal was to make it feel alive — with random bat movement, glowing lights, and soft night colors that bring the Halloween vibe to life. Here’s the live version of my spooky CSS art: View Demo on GitHub Pages View Source on GitHub This started as a simple CSS moon animation… and then the bats came in 🦇 Creating natural motion using @keyframes and animation-delay randomness. Layering effects with pure CSS gradients and transforms. Making light glows and depth using box-shadow and filter: blur(). Keeping it responsive and performant while keeping that “spooky magic.” The entire animation runs on zero JavaScript. The bats randomly move across the sky, giving life to the art. Smooth night ambiance created using CSS-only glow effects. I’d love to expand this into a CSS Art Halloween Scene Generator, where each reload spawns a unique night sky with different moon and bat arrangements 🌕💫 Made with love by @dmsmenula 🧙‍♂️ MIT License.  ( 6 min )

My Journey in Software Development: From Learning to Building Real Projects Over the past few months, my journey as a software developer has been nothing short of transformative. What began as a deep dive into Python and SQLAlchemy has grown into full-stack development with Flask, React, and even collaborative project building. I’ve had the chance to not only learn but also apply what I’ve learned in real, working applications. Learning and Growing Through Code Starting with Python, I learned to build database-driven applications using SQLAlchemy ORM and Alembic for migrations. Those projects helped me understand how to model data, manage relationships, and interact with databases efficiently. I also gained confidence using command-line interfaces (CLI) and integrating logic for tasks like…  ( 7 min )

🧩 Overview In many Joget applications, users want the flexibility to save their form progress as a draft and return later to complete it. This guide shows how to create a custom "Save as Draft" button in Joget using a BeanShell script that: Adds a Save as Draft button dynamically. Automatically updates workflow status fields (status and wf_status). Redirects users to the Inbox (or another page) after saving. ⚙️ How It Works ✅ The script dynamically inserts a SaveAsDraftButton inside a section’s layout. ✅ It then injects a small JavaScript snippet using a CustomHTML element to handle: Status updates to "Draft" Conditional redirection to a custom Userview page (your_menu_id) 💻 Full Code Paste this BeanShell script into your Form → Section → Data → …  ( 7 min )

As RWA (Real World Assets) emerges as a trillion-dollar narrative, a critical question arises: how to bring traditional assets onto the blockchain in a compliant, trustworthy, and efficient manner? The traditional ICO model is ruled out due to its stigma, and the speculative nature of IDOs is incompatible with the stability needs of RWA. Synbo Protocol's CCO (Community Contribution Offering) model, with its built-in transparency and compliance genes, is becoming a bridge connecting traditional finance and the DeFi world. Trust, Compliance, and Community · The Infeasibility of ICOs: The anonymity and lack of oversight in ICOs make them entirely unsuitable for RWA issuance. Many features of the CCO model highly align with the issuance needs of RWA: · Transparent Fund Flow: Smart contract-bas…  ( 7 min )